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Felicia West 10 years ago
ran flow weka.Bagging_J48(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7462, build_cpu_time: 0.0385, build_memory: 1523694938.9195, f_measure: 0.7908, kb_relative_information_score: -19.4283, mean_absolute_error: 0.2453, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.7343, predictive_accuracy: 0.8569, prior_entropy: 0.5956, recall: 0.8569, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3468, root_relative_squared_error: 0.9905, scimark_benchmark: 945.3507,
Felicia West 10 years ago
ran flow weka.Bagging_J48(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7591, build_cpu_time: 0.132, build_memory: 43763703.5564, f_measure: 0.7908, kb_relative_information_score: -10.8638, mean_absolute_error: 0.2444, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.7343, predictive_accuracy: 0.8569, prior_entropy: 0.5956, recall: 0.8569, relative_absolute_error: 0.993, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.9887, scimark_benchmark: 941.9954,
Felicia West 10 years ago
ran flow weka.Bagging_J48(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.803, build_cpu_time: 0.3267, build_memory: 1718427944.4723, f_measure: 0.7908, kb_relative_information_score: -2.3336, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.7343, predictive_accuracy: 0.8569, prior_entropy: 0.5956, recall: 0.8569, relative_absolute_error: 0.9873, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.9874, scimark_benchmark: 928.8764,
Felicia West 10 years ago
ran flow weka.Bagging_J48(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, build_cpu_time: 0.2016, build_memory: 2189501552.3435, f_measure: 0.7908, kb_relative_information_score: -1.1814, mean_absolute_error: 0.2437, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.7343, predictive_accuracy: 0.8569, prior_entropy: 0.5956, recall: 0.8569, relative_absolute_error: 0.9898, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3469, root_relative_squared_error: 0.9906, scimark_benchmark: 947.0595,
Felicia West 10 years ago
ran flow weka.Bagging_J48(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, build_cpu_time: 0.2434, build_memory: 698731399.1127, f_measure: 0.7908, kb_relative_information_score: -1.1814, mean_absolute_error: 0.2437, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.7343, predictive_accuracy: 0.8569, prior_entropy: 0.5956, recall: 0.8569, relative_absolute_error: 0.9898, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3469, root_relative_squared_error: 0.9906, scimark_benchmark: 945.5021,
Felicia West 10 years ago
ran flow weka.Bagging_J48(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, build_cpu_time: 0.2444, build_memory: 333696893.2952, f_measure: 0.7908, kb_relative_information_score: -1.1814, mean_absolute_error: 0.2437, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.7343, predictive_accuracy: 0.8569, prior_entropy: 0.5956, recall: 0.8569, relative_absolute_error: 0.9898, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3469, root_relative_squared_error: 0.9906, scimark_benchmark: 944.8365,
Felicia West 10 years ago
ran flow weka.Bagging_JRip(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7605, build_cpu_time: 2.9738, build_memory: 72800693.3381, f_measure: 0.8218, kappa: 0.1643, kb_relative_information_score: 25.0959, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8304, predictive_accuracy: 0.8623, prior_entropy: 0.5956, recall: 0.8623, relative_absolute_error: 0.838, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.9355, scimark_benchmark: 945.5495,
Felicia West 10 years ago
ran flow weka.MultiBoostAB_ADTree(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7945, build_cpu_time: 0.0888, build_memory: 1167745526.9267, f_measure: 0.8355, kappa: 0.2519, kb_relative_information_score: 154.7125, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8315, predictive_accuracy: 0.8605, prior_entropy: 0.5956, recall: 0.8605, relative_absolute_error: 0.5766, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3609, root_relative_squared_error: 1.0307, scimark_benchmark: 944.2618,
Felicia West 10 years ago
ran flow weka.MultiBoostAB_ADTree(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7945, build_cpu_time: 0.1195, build_memory: 684284060.9517, f_measure: 0.8355, kappa: 0.2519, kb_relative_information_score: 154.7125, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8315, predictive_accuracy: 0.8605, prior_entropy: 0.5956, recall: 0.8605, relative_absolute_error: 0.5766, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3609, root_relative_squared_error: 1.0307, scimark_benchmark: 942.6202,
Felicia West 10 years ago
ran flow weka.MultiBoostAB_ADTree(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7686, build_cpu_time: 0.209, build_memory: 548744871.6136, f_measure: 0.8427, kappa: 0.2953, kb_relative_information_score: 152.263, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8377, predictive_accuracy: 0.8623, prior_entropy: 0.5956, recall: 0.8623, relative_absolute_error: 0.5767, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3628, root_relative_squared_error: 1.0361, scimark_benchmark: 938.4414,
Felicia West 10 years ago
ran flow weka.MultiBoostAB_ADTree(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7012, build_cpu_time: 0.8501, build_memory: 1341917594.4329, f_measure: 0.8425, kappa: 0.3085, kb_relative_information_score: 147.681, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8359, predictive_accuracy: 0.8569, prior_entropy: 0.5956, recall: 0.8569, relative_absolute_error: 0.5877, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3667, root_relative_squared_error: 1.0471, scimark_benchmark: 890.4487,
Felicia West 10 years ago
ran flow weka.MultiBoostAB_ADTree(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, build_cpu_time: 0.4264, build_memory: 784508464.5295, f_measure: 0.8468, kappa: 0.3136, kb_relative_information_score: 175.4875, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8429, predictive_accuracy: 0.8658, prior_entropy: 0.5956, recall: 0.8658, relative_absolute_error: 0.5466, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3549, root_relative_squared_error: 1.0134, scimark_benchmark: 945.0342,
Felicia West 10 years ago
ran flow weka.MultiBoostAB_ADTree(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6878, build_cpu_time: 1.3908, build_memory: 895369403.8068, f_measure: 0.8294, kappa: 0.2526, kb_relative_information_score: 108.2657, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8208, predictive_accuracy: 0.8444, prior_entropy: 0.5956, recall: 0.8444, relative_absolute_error: 0.638, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3877, root_relative_squared_error: 1.107, scimark_benchmark: 931.9798,
Felicia West 10 years ago
ran flow weka.Bagging_LMT(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, build_cpu_time: 39.7289, build_memory: 413150466.0465, f_measure: 0.8223, kappa: 0.1764, kb_relative_information_score: 8.0205, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8195, predictive_accuracy: 0.8569, prior_entropy: 0.5956, recall: 0.8569, relative_absolute_error: 0.8359, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3183, root_relative_squared_error: 0.9089, scimark_benchmark: 943.3898,
Felicia West 10 years ago
ran flow weka.Bagging_LMT(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, build_cpu_time: 20.4575, build_memory: 66245364.322, f_measure: 0.8211, kappa: 0.1722, kb_relative_information_score: 6.9206, mean_absolute_error: 0.2067, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8165, predictive_accuracy: 0.8551, prior_entropy: 0.5956, recall: 0.8551, relative_absolute_error: 0.8396, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.9083, scimark_benchmark: 941.5509,
Felicia West 10 years ago
ran flow weka.Bagging_LMT(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, build_cpu_time: 10.7789, build_memory: 104485317.9821, f_measure: 0.8274, kappa: 0.2042, kb_relative_information_score: 0.4367, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8248, predictive_accuracy: 0.8587, prior_entropy: 0.5956, recall: 0.8587, relative_absolute_error: 0.8447, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.9136, scimark_benchmark: 939.0518,
Felicia West 10 years ago
ran flow weka.RealAdaBoost_RandomTree(1) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6517, build_cpu_time: 0.0185, build_memory: 592626474.0036, f_measure: 0.8318, kappa: 0.3144, kb_relative_information_score: 78.2717, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8318, predictive_accuracy: 0.8318, prior_entropy: 0.5956, recall: 0.8318, relative_absolute_error: 0.6873, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.4103, root_relative_squared_error: 1.1715, scimark_benchmark: 905.0866,
Felicia West 10 years ago
ran flow weka.RealAdaBoost_RandomTree(1) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6517, build_cpu_time: 0.0192, build_memory: 351577244.0358, f_measure: 0.8318, kappa: 0.3144, kb_relative_information_score: 78.2717, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8318, predictive_accuracy: 0.8318, prior_entropy: 0.5956, recall: 0.8318, relative_absolute_error: 0.6873, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.4103, root_relative_squared_error: 1.1715, scimark_benchmark: 937.6369,
Felicia West 10 years ago
ran flow weka.RealAdaBoost_RandomTree(1) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6517, build_cpu_time: 0.0186, build_memory: 794907656.186, f_measure: 0.8318, kappa: 0.3144, kb_relative_information_score: 78.2717, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8318, predictive_accuracy: 0.8318, prior_entropy: 0.5956, recall: 0.8318, relative_absolute_error: 0.6873, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.4103, root_relative_squared_error: 1.1715, scimark_benchmark: 939.6798,
Felicia West 10 years ago
ran flow weka.Bagging_NaiveBayes(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, build_cpu_time: 0.0962, build_memory: 1582336460.3649, f_measure: 0.8289, kappa: 0.1952, kb_relative_information_score: 148.2592, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8532, predictive_accuracy: 0.8694, prior_entropy: 0.5956, recall: 0.8694, relative_absolute_error: 0.6284, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.9152, scimark_benchmark: 905.0866,
Felicia West 10 years ago
ran flow weka.Bagging_MultilayerPerceptron(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, build_cpu_time: 622.2265, build_memory: 777501729.8318, f_measure: 0.8381, kappa: 0.3039, kb_relative_information_score: 55.1141, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8315, predictive_accuracy: 0.8479, prior_entropy: 0.5956, recall: 0.8479, relative_absolute_error: 0.7001, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3345, root_relative_squared_error: 0.9552, scimark_benchmark: 941.3226,
Felicia West 10 years ago
ran flow weka.Bagging_LMT(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, build_cpu_time: 2.5717, build_memory: 215510449.2594, f_measure: 0.8316, kappa: 0.2388, kb_relative_information_score: -5.7543, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8247, predictive_accuracy: 0.8551, prior_entropy: 0.5956, recall: 0.8551, relative_absolute_error: 0.8409, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.9237, scimark_benchmark: 942.7079,
Felicia West 10 years ago
ran flow weka.Bagging_LMT(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, build_cpu_time: 5.0531, build_memory: 1145606737.8175, f_measure: 0.8279, kappa: 0.2111, kb_relative_information_score: 1.4955, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8232, predictive_accuracy: 0.8569, prior_entropy: 0.5956, recall: 0.8569, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.9159, scimark_benchmark: 944.3501,
Felicia West 10 years ago
ran flow weka.Bagging_LWL_DecisionStump(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, build_cpu_time: 0.0024, build_memory: 1747296295.4419, f_measure: 0.8301, kappa: 0.1999, kb_relative_information_score: -76.4924, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8608, predictive_accuracy: 0.8712, prior_entropy: 0.5956, recall: 0.8712, relative_absolute_error: 0.8578, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3156, root_relative_squared_error: 0.9012, scimark_benchmark: 942.6348,
Felicia West 10 years ago
ran flow weka.Bagging_LWL_DecisionStump(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, build_cpu_time: 0.0051, build_memory: 1923124699.2057, f_measure: 0.8314, kappa: 0.2047, kb_relative_information_score: -61.8956, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8697, predictive_accuracy: 0.873, prior_entropy: 0.5956, recall: 0.873, relative_absolute_error: 0.8476, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.8998, scimark_benchmark: 938.259,
Felicia West 10 years ago
ran flow weka.MultiBoostAB_SPegasos(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7683, build_cpu_time: 2.3155, build_memory: 3449038788.78, f_measure: 0.8399, kappa: 0.3234, kb_relative_information_score: 112.2286, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.835, predictive_accuracy: 0.8462, prior_entropy: 0.5956, recall: 0.8462, relative_absolute_error: 0.6323, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3808, root_relative_squared_error: 1.0874, scimark_benchmark: 944.3501,
Felicia West 10 years ago
ran flow weka.Bagging_LWL_DecisionStump(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, build_cpu_time: 0.0068, build_memory: 602668219.7209, f_measure: 0.8314, kappa: 0.2047, kb_relative_information_score: -55.3728, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8697, predictive_accuracy: 0.873, prior_entropy: 0.5956, recall: 0.873, relative_absolute_error: 0.8491, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3146, root_relative_squared_error: 0.8984, scimark_benchmark: 929.2431,
Felicia West 10 years ago
ran flow weka.Bagging_LWL_DecisionStump(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, build_cpu_time: 0.0232, build_memory: 1560351513.6172, f_measure: 0.8314, kappa: 0.2047, kb_relative_information_score: -48.4181, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8697, predictive_accuracy: 0.873, prior_entropy: 0.5956, recall: 0.873, relative_absolute_error: 0.8447, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3149, root_relative_squared_error: 0.8992, scimark_benchmark: 929.2431,
Felicia West 10 years ago
ran flow weka.Bagging_LWL_DecisionStump(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, build_cpu_time: 0.0183, build_memory: 964883588.5081, f_measure: 0.8314, kappa: 0.2047, kb_relative_information_score: -48.8928, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8697, predictive_accuracy: 0.873, prior_entropy: 0.5956, recall: 0.873, relative_absolute_error: 0.8456, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.8989, scimark_benchmark: 928.9619,
Felicia West 10 years ago
ran flow weka.Bagging_MultilayerPerceptron(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, build_cpu_time: 1063.6262, build_memory: 173850162.0894, f_measure: 0.8405, kappa: 0.3161, kb_relative_information_score: 57.1077, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8344, predictive_accuracy: 0.8497, prior_entropy: 0.5956, recall: 0.8497, relative_absolute_error: 0.6998, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.9471, scimark_benchmark: 943.4955,
Felicia West 10 years ago
ran flow weka.RealAdaBoost_NaiveBayes(1) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, build_cpu_time: 0.0054, build_memory: 203813169.102, f_measure: 0.8289, kappa: 0.1952, kb_relative_information_score: 148.5811, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8532, predictive_accuracy: 0.8694, prior_entropy: 0.5956, recall: 0.8694, relative_absolute_error: 0.6165, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.92, scimark_benchmark: 902.98,
Felicia West 10 years ago
ran flow weka.Bagging_REPTree(3) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7148, build_cpu_time: 0.1508, build_memory: 483114857.3453, f_measure: 0.8286, kappa: 0.2086, kb_relative_information_score: -14.6222, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8278, predictive_accuracy: 0.8605, prior_entropy: 0.5956, recall: 0.8605, relative_absolute_error: 0.8171, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.33, root_relative_squared_error: 0.9422, scimark_benchmark: 943.2048,
Felicia West 10 years ago
ran flow weka.Bagging_SMO_PolyKernel(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, build_cpu_time: 3.7539, build_memory: 2492825812.4365, f_measure: 0.8301, kappa: 0.1999, kb_relative_information_score: 156.7773, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8608, predictive_accuracy: 0.8712, prior_entropy: 0.5956, recall: 0.8712, relative_absolute_error: 0.5798, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.9857, scimark_benchmark: 938.8806,
Felicia West 10 years ago
ran flow weka.Bagging_SMO_PolyKernel(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6767, build_cpu_time: 1.9368, build_memory: 537139047.5277, f_measure: 0.8289, kappa: 0.1952, kb_relative_information_score: 156.6737, mean_absolute_error: 0.1422, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8532, predictive_accuracy: 0.8694, prior_entropy: 0.5956, recall: 0.8694, relative_absolute_error: 0.5778, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.9858, scimark_benchmark: 945.8947,
Felicia West 10 years ago
ran flow weka.Bagging_REPTree(3) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, build_cpu_time: 0.0539, build_memory: 636707754.9195, f_measure: 0.8361, kappa: 0.2445, kb_relative_information_score: -12.9617, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8386, predictive_accuracy: 0.8658, prior_entropy: 0.5956, recall: 0.8658, relative_absolute_error: 0.8164, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.331, root_relative_squared_error: 0.9453, scimark_benchmark: 943.4766,
Felicia West 10 years ago
ran flow weka.Bagging_REPTree(3) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, build_cpu_time: 0.0517, build_memory: 1512245605.9249, f_measure: 0.8361, kappa: 0.2445, kb_relative_information_score: -12.9617, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8386, predictive_accuracy: 0.8658, prior_entropy: 0.5956, recall: 0.8658, relative_absolute_error: 0.8164, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.331, root_relative_squared_error: 0.9453, scimark_benchmark: 919.2952,
Felicia West 10 years ago
ran flow weka.Bagging_REPTree(3) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7164, build_cpu_time: 0.0885, build_memory: 655638289.0018, f_measure: 0.8286, kappa: 0.2086, kb_relative_information_score: -13.5181, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8278, predictive_accuracy: 0.8605, prior_entropy: 0.5956, recall: 0.8605, relative_absolute_error: 0.814, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.9411, scimark_benchmark: 938.2576,
Felicia West 10 years ago
ran flow weka.Bagging_REPTree(3) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7164, build_cpu_time: 0.0917, build_memory: 702334662.2254, f_measure: 0.8286, kappa: 0.2086, kb_relative_information_score: -13.5181, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8278, predictive_accuracy: 0.8605, prior_entropy: 0.5956, recall: 0.8605, relative_absolute_error: 0.814, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.9411, scimark_benchmark: 944.9156,
Felicia West 10 years ago
ran flow weka.Bagging_RandomTree(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, build_cpu_time: 0.0394, build_memory: 762790469.7531, f_measure: 0.8264, kappa: 0.2849, kb_relative_information_score: 25.1902, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8247, predictive_accuracy: 0.8283, prior_entropy: 0.5956, recall: 0.8283, relative_absolute_error: 0.7412, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3558, root_relative_squared_error: 1.016, scimark_benchmark: 947.4258,
Felicia West 10 years ago
ran flow weka.Bagging_RandomTree(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7354, build_cpu_time: 0.0101, build_memory: 2575470764.1789, f_measure: 0.8281, kappa: 0.2846, kb_relative_information_score: 24.974, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8248, predictive_accuracy: 0.8318, prior_entropy: 0.5956, recall: 0.8318, relative_absolute_error: 0.7377, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3591, root_relative_squared_error: 1.0253, scimark_benchmark: 949.2096,
Felicia West 10 years ago
ran flow weka.Bagging_RandomTree(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7354, build_cpu_time: 0.0101, build_memory: 844885043.6494, f_measure: 0.8281, kappa: 0.2846, kb_relative_information_score: 24.974, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8248, predictive_accuracy: 0.8318, prior_entropy: 0.5956, recall: 0.8318, relative_absolute_error: 0.7377, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3591, root_relative_squared_error: 1.0253, scimark_benchmark: 941.5201,
Felicia West 10 years ago
ran flow weka.Bagging_REPTree(3) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7079, build_cpu_time: 0.0275, build_memory: 1930246172.8658, f_measure: 0.8438, kappa: 0.2852, kb_relative_information_score: -15.726, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8456, predictive_accuracy: 0.8694, prior_entropy: 0.5956, recall: 0.8694, relative_absolute_error: 0.8227, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.9505, scimark_benchmark: 941.5201,
Felicia West 10 years ago
ran flow weka.Bagging_RandomForest(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, build_cpu_time: 8.4384, build_memory: 1340011299.1485, f_measure: 0.8354, kappa: 0.2958, kb_relative_information_score: 16.0945, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.829, predictive_accuracy: 0.8444, prior_entropy: 0.5956, recall: 0.8444, relative_absolute_error: 0.7555, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.9638, scimark_benchmark: 870.066,
Felicia West 10 years ago
ran flow weka.Bagging_RandomTree(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7564, build_cpu_time: 0.1044, build_memory: 1328673402.4759, f_measure: 0.8278, kappa: 0.2886, kb_relative_information_score: 20.796, mean_absolute_error: 0.1832, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8256, predictive_accuracy: 0.8301, prior_entropy: 0.5956, recall: 0.8301, relative_absolute_error: 0.7441, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3536, root_relative_squared_error: 1.0097, scimark_benchmark: 929.0404,
Felicia West 10 years ago
ran flow weka.Bagging_RandomForest(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7822, build_cpu_time: 2.0943, build_memory: 1712326542.7263, f_measure: 0.8329, kappa: 0.2835, kb_relative_information_score: 16.0829, mean_absolute_error: 0.1856, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8262, predictive_accuracy: 0.8426, prior_entropy: 0.5956, recall: 0.8426, relative_absolute_error: 0.754, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3389, root_relative_squared_error: 0.9678, scimark_benchmark: 945.081,
Felicia West 10 years ago
ran flow weka.Bagging_RandomForest(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, build_cpu_time: 0.5565, build_memory: 1400601010.4902, f_measure: 0.8381, kappa: 0.3229, kb_relative_information_score: 14.5833, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8344, predictive_accuracy: 0.8426, prior_entropy: 0.5956, recall: 0.8426, relative_absolute_error: 0.7582, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3431, root_relative_squared_error: 0.9797, scimark_benchmark: 902.1764,
Felicia West 10 years ago
ran flow weka.Bagging_RandomForest(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, build_cpu_time: 0.9732, build_memory: 1613531774.4544, f_measure: 0.8287, kappa: 0.2762, kb_relative_information_score: 14.3392, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8233, predictive_accuracy: 0.8354, prior_entropy: 0.5956, recall: 0.8354, relative_absolute_error: 0.7555, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.9725, scimark_benchmark: 896.8713,
Felicia West 10 years ago
ran flow weka.Bagging_RandomForest(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, build_cpu_time: 1.0007, build_memory: 1775767826.4472, f_measure: 0.8287, kappa: 0.2762, kb_relative_information_score: 14.3392, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8233, predictive_accuracy: 0.8354, prior_entropy: 0.5956, recall: 0.8354, relative_absolute_error: 0.7555, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.9725, scimark_benchmark: 925.2506,
Felicia West 10 years ago
ran flow weka.Bagging_OneR(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5181, build_cpu_time: 0.0101, build_memory: 518220391.4848, f_measure: 0.8266, kappa: 0.1823, kb_relative_information_score: 114.8932, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8571, predictive_accuracy: 0.8694, prior_entropy: 0.5956, recall: 0.8694, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3569, root_relative_squared_error: 1.0191, scimark_benchmark: 941.6532,
Felicia West 10 years ago
ran flow weka.Bagging_OneR(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5181, build_cpu_time: 0.012, build_memory: 999893951.5564, f_measure: 0.8266, kappa: 0.1823, kb_relative_information_score: 114.8932, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8571, predictive_accuracy: 0.8694, prior_entropy: 0.5956, recall: 0.8694, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3569, root_relative_squared_error: 1.0191, scimark_benchmark: 785.9104,
Felicia West 10 years ago
ran flow weka.Bagging_OneR(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5283, build_cpu_time: 0.0035, build_memory: 540506826.576, f_measure: 0.8219, kappa: 0.1599, kb_relative_information_score: 99.6557, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8445, predictive_accuracy: 0.8658, prior_entropy: 0.5956, recall: 0.8658, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3611, root_relative_squared_error: 1.0312, scimark_benchmark: 926.9727,
Felicia West 10 years ago
ran flow weka.Bagging_OneR(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5283, build_cpu_time: 0.0049, build_memory: 706119907.2487, f_measure: 0.8219, kappa: 0.1599, kb_relative_information_score: 99.6557, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8445, predictive_accuracy: 0.8658, prior_entropy: 0.5956, recall: 0.8658, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3611, root_relative_squared_error: 1.0312, scimark_benchmark: 940.6012,
Felicia West 10 years ago
ran flow weka.Bagging_OneR(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5283, build_cpu_time: 0.0042, build_memory: 594172358.4401, f_measure: 0.8219, kappa: 0.1599, kb_relative_information_score: 99.6557, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8445, predictive_accuracy: 0.8658, prior_entropy: 0.5956, recall: 0.8658, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3611, root_relative_squared_error: 1.0312, scimark_benchmark: 941.6532,
Felicia West 10 years ago
ran flow weka.Bagging_OneR(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5619, build_cpu_time: 0.0235, build_memory: 620462325.9106, f_measure: 0.8266, kappa: 0.1823, kb_relative_information_score: 119.1435, mean_absolute_error: 0.1569, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8571, predictive_accuracy: 0.8694, prior_entropy: 0.5956, recall: 0.8694, relative_absolute_error: 0.6375, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3545, root_relative_squared_error: 1.0123, scimark_benchmark: 932.7461,
Felicia West 10 years ago
ran flow weka.RotationForest_PrincipalComponents_J48(3) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, build_cpu_time: 0.9528, build_memory: 791047064.9302, f_measure: 0.8365, kappa: 0.2506, kb_relative_information_score: 53.3165, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8359, predictive_accuracy: 0.864, prior_entropy: 0.5956, recall: 0.864, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.9186, scimark_benchmark: 942.3187,
Felicia West 10 years ago
ran flow weka.RotationForest_PrincipalComponents_J48(3) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, build_cpu_time: 0.9602, build_memory: 263308483.6208, f_measure: 0.8365, kappa: 0.2506, kb_relative_information_score: 53.3165, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8359, predictive_accuracy: 0.864, prior_entropy: 0.5956, recall: 0.864, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.9186, scimark_benchmark: 910.9043,
Felicia West 10 years ago
ran flow weka.RotationForest_PrincipalComponents_J48(3) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, build_cpu_time: 0.9382, build_memory: 919701386.7048, f_measure: 0.8365, kappa: 0.2506, kb_relative_information_score: 53.3165, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8359, predictive_accuracy: 0.864, prior_entropy: 0.5956, recall: 0.864, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.9186, scimark_benchmark: 940.6012,
Felicia West 10 years ago
ran flow weka.Bagging_SMO_PolyKernel(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6178, build_cpu_time: 0.2399, build_memory: 1379322088.6154, f_measure: 0.8301, kappa: 0.1999, kb_relative_information_score: 150.9166, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8608, predictive_accuracy: 0.8712, prior_entropy: 0.5956, recall: 0.8712, relative_absolute_error: 0.5799, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3507, root_relative_squared_error: 1.0014, scimark_benchmark: 929.8923,
Felicia West 10 years ago
ran flow weka.Bagging_SMO_PolyKernel(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6178, build_cpu_time: 0.3113, build_memory: 892604246.0966, f_measure: 0.8301, kappa: 0.1999, kb_relative_information_score: 150.9166, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8608, predictive_accuracy: 0.8712, prior_entropy: 0.5956, recall: 0.8712, relative_absolute_error: 0.5799, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3507, root_relative_squared_error: 1.0014, scimark_benchmark: 926.0021,
Felicia West 10 years ago
ran flow weka.Bagging_SMO_PolyKernel(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6178, build_cpu_time: 0.3113, build_memory: 491824198.2397, f_measure: 0.8301, kappa: 0.1999, kb_relative_information_score: 150.9166, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8608, predictive_accuracy: 0.8712, prior_entropy: 0.5956, recall: 0.8712, relative_absolute_error: 0.5799, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3507, root_relative_squared_error: 1.0014, scimark_benchmark: 931.4894,
Felicia West 10 years ago
ran flow weka.Bagging_SMO_PolyKernel(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6178, build_cpu_time: 0.2407, build_memory: 1178841727.3846, f_measure: 0.8301, kappa: 0.1999, kb_relative_information_score: 150.9166, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8608, predictive_accuracy: 0.8712, prior_entropy: 0.5956, recall: 0.8712, relative_absolute_error: 0.5799, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3507, root_relative_squared_error: 1.0014, scimark_benchmark: 895.5844,
Felicia West 10 years ago
ran flow weka.Bagging_SPegasos(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, build_cpu_time: 1.0844, build_memory: 2123421678.5403, f_measure: 0.8274, kappa: 0.22, kb_relative_information_score: 88.333, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8192, predictive_accuracy: 0.8515, prior_entropy: 0.5956, recall: 0.8515, relative_absolute_error: 0.654, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3543, root_relative_squared_error: 1.0118, scimark_benchmark: 934.1538,
Felicia West 10 years ago
ran flow weka.Bagging_SPegasos(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, build_cpu_time: 1.2545, build_memory: 439188748.551, f_measure: 0.8274, kappa: 0.22, kb_relative_information_score: 88.333, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8192, predictive_accuracy: 0.8515, prior_entropy: 0.5956, recall: 0.8515, relative_absolute_error: 0.654, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3543, root_relative_squared_error: 1.0118, scimark_benchmark: 936.5169,
Felicia West 10 years ago
ran flow weka.Bagging_SMO_PolyKernel(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6492, build_cpu_time: 0.9443, build_memory: 827053442.1038, f_measure: 0.8289, kappa: 0.1952, kb_relative_information_score: 151.8703, mean_absolute_error: 0.1438, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8532, predictive_accuracy: 0.8694, prior_entropy: 0.5956, recall: 0.8694, relative_absolute_error: 0.5841, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3481, root_relative_squared_error: 0.9939, scimark_benchmark: 933.5169,
Felicia West 10 years ago
ran flow weka.Bagging_SMO_PolyKernel(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6277, build_cpu_time: 0.4784, build_memory: 1104732761.1449, f_measure: 0.8289, kappa: 0.1952, kb_relative_information_score: 150.6971, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8532, predictive_accuracy: 0.8694, prior_entropy: 0.5956, recall: 0.8694, relative_absolute_error: 0.5857, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.9983, scimark_benchmark: 938.2568,
Felicia West 10 years ago
ran flow weka.Bagging_SMO_PolyKernel(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6277, build_cpu_time: 0.5175, build_memory: 353713776.5725, f_measure: 0.8289, kappa: 0.1952, kb_relative_information_score: 150.6971, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8532, predictive_accuracy: 0.8694, prior_entropy: 0.5956, recall: 0.8694, relative_absolute_error: 0.5857, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.9983, scimark_benchmark: 921.6517,
Felicia West 10 years ago
ran flow weka.Bagging_SMO_PolyKernel(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6277, build_cpu_time: 0.5127, build_memory: 488155126.3256, f_measure: 0.8289, kappa: 0.1952, kb_relative_information_score: 150.6971, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8532, predictive_accuracy: 0.8694, prior_entropy: 0.5956, recall: 0.8694, relative_absolute_error: 0.5857, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.9983, scimark_benchmark: 933.1047,
Felicia West 10 years ago
ran flow weka.NaiveBayesUpdateable(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, build_cpu_time: 0.0006, build_memory: 255024432, f_measure: 0.8289, kappa: 0.1952, kb_relative_information_score: 145.002, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8532, predictive_accuracy: 0.8694, prior_entropy: 0.5956, recall: 0.8694, relative_absolute_error: 0.6319, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.917, scimark_benchmark: 922.2602,
Felicia West 10 years ago
ran flow weka.NaiveBayesUpdateable(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, build_cpu_time: 0.0002, build_memory: 310816487.5564, f_measure: 0.8289, kappa: 0.1952, kb_relative_information_score: 145.002, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8532, predictive_accuracy: 0.8694, prior_entropy: 0.5956, recall: 0.8694, relative_absolute_error: 0.6319, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.917, scimark_benchmark: 943.2554,
Felicia West 10 years ago
ran flow weka.ZeroR(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, build_cpu_time: 0.0004, build_memory: 125512200, f_measure: 0.7908, kb_relative_information_score: -1.0071, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.7343, predictive_accuracy: 0.8569, prior_entropy: 0.5956, recall: 0.8569, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3502, root_relative_squared_error: 1, scimark_benchmark: 922.2602,
Felicia West 10 years ago
ran flow weka.ZeroR(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, build_cpu_time: 0.0002, build_memory: 180398216, f_measure: 0.7908, kb_relative_information_score: -1.0071, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.7343, predictive_accuracy: 0.8569, prior_entropy: 0.5956, recall: 0.8569, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3502, root_relative_squared_error: 1, scimark_benchmark: 922.5645,
Felicia West 10 years ago
ran flow weka.NaiveBayes(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, build_cpu_time: 0.0004, build_memory: 1168127696, f_measure: 0.8289, kappa: 0.1952, kb_relative_information_score: 145.002, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8532, predictive_accuracy: 0.8694, prior_entropy: 0.5956, recall: 0.8694, relative_absolute_error: 0.6319, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.917, scimark_benchmark: 942.9279,
Felicia West 10 years ago
ran flow weka.NaiveBayes(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, build_cpu_time: 0.0006, build_memory: 1366955200, f_measure: 0.8289, kappa: 0.1952, kb_relative_information_score: 145.002, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8532, predictive_accuracy: 0.8694, prior_entropy: 0.5956, recall: 0.8694, relative_absolute_error: 0.6319, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.917, scimark_benchmark: 908.7121,
Felicia West 10 years ago
ran flow weka.Logistic(3) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7693, build_cpu_time: 0.0416, build_memory: 580389796.3363, f_measure: 0.8254, kappa: 0.2298, kb_relative_information_score: 15.6121, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8159, predictive_accuracy: 0.8426, prior_entropy: 0.5956, recall: 0.8426, relative_absolute_error: 0.7624, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.953, scimark_benchmark: 945.7844,
Felicia West 10 years ago
ran flow weka.SGD(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5667, build_cpu_time: 0.0877, build_memory: 286331583.6708, f_measure: 0.8314, kappa: 0.2047, kb_relative_information_score: 196.2939, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8697, predictive_accuracy: 0.873, prior_entropy: 0.5956, recall: 0.873, relative_absolute_error: 0.516, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3564, root_relative_squared_error: 1.0177, scimark_benchmark: 926.786,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(6) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5667, build_cpu_time: 0.031, build_memory: 1050676715.7925, f_measure: 0.8314, kappa: 0.2047, kb_relative_information_score: 196.2939, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8697, predictive_accuracy: 0.873, prior_entropy: 0.5956, recall: 0.873, relative_absolute_error: 0.516, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3564, root_relative_squared_error: 1.0177, scimark_benchmark: 942.9216,
Felicia West 10 years ago
ran flow weka.ZeroR(1) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.76, build_cpu_time: 0.0109, build_memory: 509872372.6082, f_measure: 0.8326, kappa: 0.2096, kb_relative_information_score: -13.592, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.88, predictive_accuracy: 0.8748, prior_entropy: 0.5956, recall: 0.8748, relative_absolute_error: 0.7988, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.9084, scimark_benchmark: 934.4754,
Felicia West 10 years ago
ran flow weka.Bagging_REPTree(3) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7109, build_cpu_time: 0.0128, build_memory: 1190226842.6619, f_measure: 0.8279, kappa: 0.2111, kb_relative_information_score: -24.4884, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8232, predictive_accuracy: 0.8569, prior_entropy: 0.5956, recall: 0.8569, relative_absolute_error: 0.8296, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.9615, scimark_benchmark: 933.4176,
Felicia West 10 years ago
ran flow weka.Bagging_REPTree(3) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7109, build_cpu_time: 0.0135, build_memory: 1213060247.3131, f_measure: 0.8279, kappa: 0.2111, kb_relative_information_score: -24.4884, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8232, predictive_accuracy: 0.8569, prior_entropy: 0.5956, recall: 0.8569, relative_absolute_error: 0.8296, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.9615, scimark_benchmark: 945.1122,
Felicia West 10 years ago
ran flow weka.RandomForest(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7651, build_cpu_time: 0.0783, build_memory: 833151452.0358, f_measure: 0.8278, kappa: 0.2886, kb_relative_information_score: 21.9117, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8256, predictive_accuracy: 0.8301, prior_entropy: 0.5956, recall: 0.8301, relative_absolute_error: 0.7438, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3544, root_relative_squared_error: 1.0119, scimark_benchmark: 933.9469,
Felicia West 10 years ago
ran flow weka.A1DE(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, build_cpu_time: 0.0112, build_memory: 32154662.7692, f_measure: 0.8277, kappa: 0.2262, kb_relative_information_score: 19.5042, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8189, predictive_accuracy: 0.8497, prior_entropy: 0.5956, recall: 0.8497, relative_absolute_error: 0.7401, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.9549, scimark_benchmark: 947.8637,
Felicia West 10 years ago
ran flow weka.A2DE(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.789, build_cpu_time: 0.0012, build_memory: 398174132.5939, f_measure: 0.8333, kappa: 0.2698, kb_relative_information_score: 20.9804, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8253, predictive_accuracy: 0.8479, prior_entropy: 0.5956, recall: 0.8479, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3386, root_relative_squared_error: 0.9668, scimark_benchmark: 932.1837,
Felicia West 10 years ago
ran flow weka.AdaBoostM1_ADTree(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, build_cpu_time: 0.1401, build_memory: 904542767.3417, f_measure: 0.8373, kappa: 0.2726, kb_relative_information_score: 76.3975, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8307, predictive_accuracy: 0.8569, prior_entropy: 0.5956, recall: 0.8569, relative_absolute_error: 0.679, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3343, root_relative_squared_error: 0.9545, scimark_benchmark: 943.521,
Felicia West 10 years ago
ran flow weka.SMO_RBFKernel(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0906, build_memory: 372640257.0877, f_measure: 0.7908, kb_relative_information_score: 150.7057, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.7343, predictive_accuracy: 0.8569, prior_entropy: 0.5956, recall: 0.8569, relative_absolute_error: 0.5814, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3783, root_relative_squared_error: 1.0803, scimark_benchmark: 935.37,
Felicia West 10 years ago
ran flow weka.IBk(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6333, build_cpu_time: 0.0001, build_memory: 728902024, f_measure: 0.8207, kappa: 0.2747, kb_relative_information_score: 42.6195, mean_absolute_error: 0.1819, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8221, predictive_accuracy: 0.8193, prior_entropy: 0.5956, recall: 0.8193, relative_absolute_error: 0.7391, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.4242, root_relative_squared_error: 1.2114, scimark_benchmark: 932.1837,
Felicia West 10 years ago
ran flow weka.JRip(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5364, build_cpu_time: 0.0155, build_memory: 487644909.9964, f_measure: 0.811, kappa: 0.1049, kb_relative_information_score: 27.7335, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8273, predictive_accuracy: 0.8605, prior_entropy: 0.5956, recall: 0.8605, relative_absolute_error: 0.9396, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.9887, scimark_benchmark: 938.8276,
Felicia West 10 years ago
ran flow weka.AdaBoostM1_BFTree(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7497, build_cpu_time: 0.9745, build_memory: 828336480.0572, f_measure: 0.839, kappa: 0.3436, kb_relative_information_score: 66.1926, mean_absolute_error: 0.1695, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.839, predictive_accuracy: 0.839, prior_entropy: 0.5956, recall: 0.839, relative_absolute_error: 0.6886, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3911, root_relative_squared_error: 1.1167, scimark_benchmark: 930.264,
Felicia West 10 years ago
ran flow weka.AdaBoostM1_BFTree(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7198, build_cpu_time: 1.8383, build_memory: 439256866.0465, f_measure: 0.835, kappa: 0.3185, kb_relative_information_score: 93.0129, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.833, predictive_accuracy: 0.8372, prior_entropy: 0.5956, recall: 0.8372, relative_absolute_error: 0.655, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.393, root_relative_squared_error: 1.1224, scimark_benchmark: 945.5617,
Felicia West 10 years ago
ran flow weka.AdaBoostM1_IBk(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6333, build_cpu_time: 0.0182, build_memory: 63662754.4329, f_measure: 0.8207, kappa: 0.2747, kb_relative_information_score: 42.6195, mean_absolute_error: 0.1819, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8221, predictive_accuracy: 0.8193, prior_entropy: 0.5956, recall: 0.8193, relative_absolute_error: 0.7391, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.4242, root_relative_squared_error: 1.2114, scimark_benchmark: 923.9118,
Felicia West 10 years ago
ran flow weka.AdaBoostM1_IBk(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6333, build_cpu_time: 0.0168, build_memory: 86119987.0054, f_measure: 0.8207, kappa: 0.2747, kb_relative_information_score: 42.6195, mean_absolute_error: 0.1819, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8221, predictive_accuracy: 0.8193, prior_entropy: 0.5956, recall: 0.8193, relative_absolute_error: 0.7391, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.4242, root_relative_squared_error: 1.2114, scimark_benchmark: 923.3659,
Felicia West 10 years ago
ran flow weka.AdaBoostM1_IBk(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6333, build_cpu_time: 0.0223, build_memory: 332272278.8265, f_measure: 0.8207, kappa: 0.2747, kb_relative_information_score: 42.6195, mean_absolute_error: 0.1819, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8221, predictive_accuracy: 0.8193, prior_entropy: 0.5956, recall: 0.8193, relative_absolute_error: 0.7391, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.4242, root_relative_squared_error: 1.2114, scimark_benchmark: 936.1433,
Felicia West 10 years ago
ran flow weka.AdaBoostM1_BFTree(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, build_cpu_time: 3.8498, build_memory: 2607419675.22, f_measure: 0.8354, kappa: 0.315, kb_relative_information_score: 99.7846, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8323, predictive_accuracy: 0.839, prior_entropy: 0.5956, recall: 0.839, relative_absolute_error: 0.6512, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3953, root_relative_squared_error: 1.1289, scimark_benchmark: 947.7459,
Felicia West 10 years ago
ran flow weka.AdaBoostM1_BFTree(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6789, build_cpu_time: 7.1263, build_memory: 975187654.7979, f_measure: 0.8323, kappa: 0.3109, kb_relative_information_score: 86.3905, mean_absolute_error: 0.1659, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.831, predictive_accuracy: 0.8336, prior_entropy: 0.5956, recall: 0.8336, relative_absolute_error: 0.6738, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.4049, root_relative_squared_error: 1.1561, scimark_benchmark: 923.5113,
Felicia West 10 years ago
ran flow weka.AdaBoostM1_DecisionStump(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, build_cpu_time: 0.1563, build_memory: 21171962.1038, f_measure: 0.837, kappa: 0.2343, kb_relative_information_score: 23.7806, mean_absolute_error: 0.1885, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8674, predictive_accuracy: 0.8748, prior_entropy: 0.5956, recall: 0.8748, relative_absolute_error: 0.7657, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3137, root_relative_squared_error: 0.8958, scimark_benchmark: 944.4197,
Felicia West 10 years ago
ran flow weka.AdaBoostM1_J48(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, build_cpu_time: 0.3872, build_memory: 1005012432.8873, f_measure: 0.8287, kappa: 0.2961, kb_relative_information_score: 74.7251, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8274, predictive_accuracy: 0.8301, prior_entropy: 0.5956, recall: 0.8301, relative_absolute_error: 0.6904, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.4122, root_relative_squared_error: 1.1772, scimark_benchmark: 945.0532,
Felicia West 10 years ago
ran flow weka.AdaBoostM1_J48(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, build_cpu_time: 0.1892, build_memory: 874362932.3363, f_measure: 0.8264, kappa: 0.2849, kb_relative_information_score: 69.6653, mean_absolute_error: 0.1717, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8247, predictive_accuracy: 0.8283, prior_entropy: 0.5956, recall: 0.8283, relative_absolute_error: 0.6976, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.4144, root_relative_squared_error: 1.1834, scimark_benchmark: 934.8107,
Felicia West 10 years ago
ran flow weka.AdaBoostM1_J48(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6395, build_cpu_time: 0.0871, build_memory: 1874714514.2183, f_measure: 0.8264, kappa: 0.2849, kb_relative_information_score: 69.6599, mean_absolute_error: 0.1717, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8247, predictive_accuracy: 0.8283, prior_entropy: 0.5956, recall: 0.8283, relative_absolute_error: 0.6976, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.4144, root_relative_squared_error: 1.1834, scimark_benchmark: 934.2858,
Felicia West 10 years ago
ran flow weka.AdaBoostM1_J48(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6561, build_cpu_time: 0.0629, build_memory: 1170988288.6583, f_measure: 0.8264, kappa: 0.2849, kb_relative_information_score: 69.6559, mean_absolute_error: 0.1717, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8247, predictive_accuracy: 0.8283, prior_entropy: 0.5956, recall: 0.8283, relative_absolute_error: 0.6976, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.4144, root_relative_squared_error: 1.1834, scimark_benchmark: 917.4547,
Felicia West 10 years ago
ran flow weka.AdaBoostM1_J48(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7754, build_cpu_time: 0.0228, build_memory: 515252347.0769, f_measure: 0.8264, kappa: 0.2849, kb_relative_information_score: 71.3743, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8247, predictive_accuracy: 0.8283, prior_entropy: 0.5956, recall: 0.8283, relative_absolute_error: 0.6932, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.4111, root_relative_squared_error: 1.174, scimark_benchmark: 920.7965,
Felicia West 10 years ago
ran flow weka.AdaBoostM1_JRip(2) on task Supervised Classification on data set arsenic-female-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7847, build_cpu_time: 0.084, build_memory: 322452833.7174, f_measure: 0.8292, kappa: 0.2362, kb_relative_information_score: 69.5078, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8205, predictive_accuracy: 0.8497, prior_entropy: 0.5956, recall: 0.8497, relative_absolute_error: 0.6873, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.9701, scimark_benchmark: 945.0532,