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OpenML
OpenML
Supervised Classification on mfeat-morphological

Supervised Classification on mfeat-morphological

Task 18 Supervised Classification mfeat-morphological 21769 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_98 study_99 under100k under1m
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21769 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.6657, kappa: 0.6394, kb_relative_information_score: 1246.4974, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6704, predictive_accuracy: 0.6755, prior_entropy: 3.3219, recall: 0.6755, relative_absolute_error: 0.56, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.6937, scimark_benchmark: 896.3888,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.6976, kappa: 0.6733, kb_relative_information_score: 554.0321, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7122, predictive_accuracy: 0.706, prior_entropy: 3.3219, recall: 0.706, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.9187, scimark_benchmark: 944.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, f_measure: 0.0822, kappa: 0.1117, kb_relative_information_score: 571.5896, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.1074, predictive_accuracy: 0.2005, prior_entropy: 3.3219, recall: 0.2005, relative_absolute_error: 0.8925, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.9446, scimark_benchmark: 913.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.6798, kappa: 0.6594, kb_relative_information_score: 600.3167, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6917, predictive_accuracy: 0.6935, prior_entropy: 3.3219, recall: 0.6935, relative_absolute_error: 0.8741, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2652, root_relative_squared_error: 0.8841, scimark_benchmark: 934.5544,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.7076, kappa: 0.6767, kb_relative_information_score: 1171.7704, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7089, predictive_accuracy: 0.709, prior_entropy: 3.3219, recall: 0.709, relative_absolute_error: 0.5893, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.207, root_relative_squared_error: 0.6902, scimark_benchmark: 927.3896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.7076, kappa: 0.6767, kb_relative_information_score: 1171.7704, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7089, predictive_accuracy: 0.709, prior_entropy: 3.3219, recall: 0.709, relative_absolute_error: 0.5893, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.207, root_relative_squared_error: 0.6902, scimark_benchmark: 945.0428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.6993, kappa: 0.6661, kb_relative_information_score: 1425.5516, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6997, predictive_accuracy: 0.6995, prior_entropy: 3.3219, recall: 0.6995, relative_absolute_error: 0.3407, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.7349, scimark_benchmark: 928.8801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, f_measure: 0.4555, kappa: 0.4022, kb_relative_information_score: 155.2986, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.4529, predictive_accuracy: 0.462, prior_entropy: 3.3219, recall: 0.462, relative_absolute_error: 0.9777, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2936, root_relative_squared_error: 0.9786, scimark_benchmark: 930.2987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.72, kappa: 0.69, kb_relative_information_score: 1549.73, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7201, predictive_accuracy: 0.721, prior_entropy: 3.3219, recall: 0.721, relative_absolute_error: 0.345, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.6009, scimark_benchmark: 925.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.0801, kappa: 0.1106, kb_relative_information_score: 572.1443, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0577, predictive_accuracy: 0.1995, prior_entropy: 3.3219, recall: 0.1995, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.9446, scimark_benchmark: 921.9334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.6895, kappa: 0.6567, kb_relative_information_score: 1367.5419, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6893, predictive_accuracy: 0.691, prior_entropy: 3.3219, recall: 0.691, relative_absolute_error: 0.3481, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.241, root_relative_squared_error: 0.8035, scimark_benchmark: 940.4775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.6637, kappa: 0.6672, kb_relative_information_score: 740.8136, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6557, predictive_accuracy: 0.7005, prior_entropy: 3.3219, recall: 0.7005, relative_absolute_error: 0.8436, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2691, root_relative_squared_error: 0.8969, scimark_benchmark: 936.4186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.6893, kappa: 0.655, kb_relative_information_score: 1371.5204, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6895, predictive_accuracy: 0.6895, prior_entropy: 3.3219, recall: 0.6895, relative_absolute_error: 0.3497, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.7959, scimark_benchmark: 932.8769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.6637, kappa: 0.6672, kb_relative_information_score: 740.8136, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6557, predictive_accuracy: 0.7005, prior_entropy: 3.3219, recall: 0.7005, relative_absolute_error: 0.8436, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2691, root_relative_squared_error: 0.8969, scimark_benchmark: 925.4748,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.7038, kappa: 0.6717, kb_relative_information_score: 1394.6748, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.704, predictive_accuracy: 0.7045, prior_entropy: 3.3219, recall: 0.7045, relative_absolute_error: 0.3306, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2377, root_relative_squared_error: 0.7923, scimark_benchmark: 946.8768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.7058, kappa: 0.6767, kb_relative_information_score: 741.2521, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.715, predictive_accuracy: 0.709, prior_entropy: 3.3219, recall: 0.709, relative_absolute_error: 0.8248, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.8419, scimark_benchmark: 936.9502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.72, kappa: 0.69, kb_relative_information_score: 1484.1289, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7225, predictive_accuracy: 0.721, prior_entropy: 3.3219, recall: 0.721, relative_absolute_error: 0.3945, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.6087, scimark_benchmark: 926.3663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.6852, kappa: 0.6611, kb_relative_information_score: 1469.2917, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6947, predictive_accuracy: 0.695, prior_entropy: 3.3219, recall: 0.695, relative_absolute_error: 0.3711, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2036, root_relative_squared_error: 0.6787, scimark_benchmark: 932.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.6781, kappa: 0.6472, kb_relative_information_score: 1419.4159, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6811, predictive_accuracy: 0.6825, prior_entropy: 3.3219, recall: 0.6825, relative_absolute_error: 0.4202, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.6725, scimark_benchmark: 923.2711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.7171, kappa: 0.6894, kb_relative_information_score: 1432.4033, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7227, predictive_accuracy: 0.7205, prior_entropy: 3.3219, recall: 0.7205, relative_absolute_error: 0.4363, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.6321, scimark_benchmark: 939.5349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.6709, kappa: 0.6494, kb_relative_information_score: 1401.2658, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6779, predictive_accuracy: 0.6845, prior_entropy: 3.3219, recall: 0.6845, relative_absolute_error: 0.4553, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.6607, scimark_benchmark: 926.3965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.694, kappa: 0.66, kb_relative_information_score: 1413.7594, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6946, predictive_accuracy: 0.694, prior_entropy: 3.3219, recall: 0.694, relative_absolute_error: 0.3392, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.723, kappa: 0.6983, kb_relative_information_score: 1396.8006, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7266, predictive_accuracy: 0.7285, prior_entropy: 3.3219, recall: 0.7285, relative_absolute_error: 0.4321, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.6362, scimark_benchmark: 943.9199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.6872, kappa: 0.6911, kb_relative_information_score: 1478.4488, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6765, predictive_accuracy: 0.722, prior_entropy: 3.3219, recall: 0.722, relative_absolute_error: 0.3762, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.6506, scimark_benchmark: 940.1487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.6907, kappa: 0.6578, kb_relative_information_score: 1360.7552, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6901, predictive_accuracy: 0.692, prior_entropy: 3.3219, recall: 0.692, relative_absolute_error: 0.3431, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2458, root_relative_squared_error: 0.8193, scimark_benchmark: 948.1946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.6909, kappa: 0.6572, kb_relative_information_score: 1367.2492, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.691, predictive_accuracy: 0.6915, prior_entropy: 3.3219, recall: 0.6915, relative_absolute_error: 0.3426, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2433, root_relative_squared_error: 0.811, scimark_benchmark: 941.7011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.7031, kappa: 0.6733, kb_relative_information_score: 856.4858, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.708, predictive_accuracy: 0.706, prior_entropy: 3.3219, recall: 0.706, relative_absolute_error: 0.7756, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.8018, scimark_benchmark: 943.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7579, f_measure: 0.0883, kappa: 0.1106, kb_relative_information_score: 569.0174, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0583, predictive_accuracy: 0.1995, prior_entropy: 3.3219, recall: 0.1995, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.9452, scimark_benchmark: 942.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7584, f_measure: 0.0943, kappa: 0.1094, kb_relative_information_score: 571.7999, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0914, predictive_accuracy: 0.1985, prior_entropy: 3.3219, recall: 0.1985, relative_absolute_error: 0.8924, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.9447, scimark_benchmark: 927.7006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.716, kappa: 0.685, kb_relative_information_score: 1540.7652, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7162, predictive_accuracy: 0.7165, prior_entropy: 3.3219, recall: 0.7165, relative_absolute_error: 0.3465, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.6112, scimark_benchmark: 939.3057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.7241, kappa: 0.6939, kb_relative_information_score: 1546.9824, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7247, predictive_accuracy: 0.7245, prior_entropy: 3.3219, recall: 0.7245, relative_absolute_error: 0.3448, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.6062, scimark_benchmark: 944.1176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.6703, kappa: 0.6322, kb_relative_information_score: 1417.5033, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6721, predictive_accuracy: 0.669, prior_entropy: 3.3219, recall: 0.669, relative_absolute_error: 0.3665, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.7388, scimark_benchmark: 950.0638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5544, f_measure: 0.068, kappa: 0.1089, kb_relative_information_score: 322.605, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0414, predictive_accuracy: 0.198, prior_entropy: 3.3219, recall: 0.198, relative_absolute_error: 0.8911, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4005, root_relative_squared_error: 1.335, scimark_benchmark: 924.0226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.731, kappa: 0.7022, kb_relative_information_score: 1478.6799, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7331, predictive_accuracy: 0.732, prior_entropy: 3.3219, recall: 0.732, relative_absolute_error: 0.3084, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.6963, scimark_benchmark: 946.4635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.709, kappa: 0.6778, kb_relative_information_score: 1487.816, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.71, predictive_accuracy: 0.71, prior_entropy: 3.3219, recall: 0.71, relative_absolute_error: 0.3779, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.6474, scimark_benchmark: 942.3815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.7001, kappa: 0.6678, kb_relative_information_score: 1453.9158, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7006, predictive_accuracy: 0.701, prior_entropy: 3.3219, recall: 0.701, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.6773, scimark_benchmark: 927.8819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.6798, kappa: 0.6594, kb_relative_information_score: 600.3167, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6917, predictive_accuracy: 0.6935, prior_entropy: 3.3219, recall: 0.6935, relative_absolute_error: 0.8741, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2652, root_relative_squared_error: 0.8841, scimark_benchmark: 943.7662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.6987, kappa: 0.6661, kb_relative_information_score: 1376.6747, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6985, predictive_accuracy: 0.6995, prior_entropy: 3.3219, recall: 0.6995, relative_absolute_error: 0.3364, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2424, root_relative_squared_error: 0.8081, scimark_benchmark: 944.3473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.7076, kappa: 0.6767, kb_relative_information_score: 1171.7704, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7089, predictive_accuracy: 0.709, prior_entropy: 3.3219, recall: 0.709, relative_absolute_error: 0.5893, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.207, root_relative_squared_error: 0.6902, scimark_benchmark: 942.6335,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.6863, kappa: 0.6522, kb_relative_information_score: 1373.4487, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6864, predictive_accuracy: 0.687, prior_entropy: 3.3219, recall: 0.687, relative_absolute_error: 0.3478, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2404, root_relative_squared_error: 0.8015, scimark_benchmark: 921.5669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.6909, kappa: 0.6561, kb_relative_information_score: 1411.1579, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.692, predictive_accuracy: 0.6905, prior_entropy: 3.3219, recall: 0.6905, relative_absolute_error: 0.3371, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.229, root_relative_squared_error: 0.7635, scimark_benchmark: 949.4771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, f_measure: 0.4555, kappa: 0.4022, kb_relative_information_score: 155.2986, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.4529, predictive_accuracy: 0.462, prior_entropy: 3.3219, recall: 0.462, relative_absolute_error: 0.9777, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2936, root_relative_squared_error: 0.9786, scimark_benchmark: 930.3984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.7076, kappa: 0.6767, kb_relative_information_score: 1171.7704, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7089, predictive_accuracy: 0.709, prior_entropy: 3.3219, recall: 0.709, relative_absolute_error: 0.5893, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.207, root_relative_squared_error: 0.6902, scimark_benchmark: 946.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.7151, kappa: 0.7167, kb_relative_information_score: 970.9912, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.735, predictive_accuracy: 0.745, prior_entropy: 3.3219, recall: 0.745, relative_absolute_error: 0.7278, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.7612, scimark_benchmark: 947.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.6674, kappa: 0.6461, kb_relative_information_score: 772.5833, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.68, predictive_accuracy: 0.6815, prior_entropy: 3.3219, recall: 0.6815, relative_absolute_error: 0.8323, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2661, root_relative_squared_error: 0.8868, scimark_benchmark: 943.3483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.6798, kappa: 0.6594, kb_relative_information_score: 600.3167, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6917, predictive_accuracy: 0.6935, prior_entropy: 3.3219, recall: 0.6935, relative_absolute_error: 0.8741, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2652, root_relative_squared_error: 0.8841, scimark_benchmark: 941.9818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.6224, kappa: 0.6178, kb_relative_information_score: 1382.7697, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6502, predictive_accuracy: 0.656, prior_entropy: 3.3219, recall: 0.656, relative_absolute_error: 0.3962, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2253, root_relative_squared_error: 0.7511, scimark_benchmark: 942.8244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7591, f_measure: 0.0895, kappa: 0.1111, kb_relative_information_score: 571.9177, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.1584, predictive_accuracy: 0.2, prior_entropy: 3.3219, recall: 0.2, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.9446, scimark_benchmark: 942.1977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.7121, kappa: 0.6833, kb_relative_information_score: 1275.0025, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.713, predictive_accuracy: 0.715, prior_entropy: 3.3219, recall: 0.715, relative_absolute_error: 0.4935, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.6985, scimark_benchmark: 918.5151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.718, kappa: 0.6883, kb_relative_information_score: 1446.7507, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7179, predictive_accuracy: 0.7195, prior_entropy: 3.3219, recall: 0.7195, relative_absolute_error: 0.3122, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.7426, scimark_benchmark: 922.3342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.7058, kappa: 0.6767, kb_relative_information_score: 741.2521, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.715, predictive_accuracy: 0.709, prior_entropy: 3.3219, recall: 0.709, relative_absolute_error: 0.8248, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.8419, scimark_benchmark: 914.2458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.6933, kappa: 0.6589, kb_relative_information_score: 1411.4218, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6944, predictive_accuracy: 0.693, prior_entropy: 3.3219, recall: 0.693, relative_absolute_error: 0.3355, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.764, scimark_benchmark: 942.7573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.6862, kappa: 0.6522, kb_relative_information_score: 1374.9905, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.686, predictive_accuracy: 0.687, prior_entropy: 3.3219, recall: 0.687, relative_absolute_error: 0.3465, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2404, root_relative_squared_error: 0.8015, scimark_benchmark: 947.2422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, f_measure: 0.4555, kappa: 0.4022, kb_relative_information_score: 155.2986, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.4529, predictive_accuracy: 0.462, prior_entropy: 3.3219, recall: 0.462, relative_absolute_error: 0.9777, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2936, root_relative_squared_error: 0.9786, scimark_benchmark: 922.8683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.7031, kappa: 0.6733, kb_relative_information_score: 856.4858, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.708, predictive_accuracy: 0.706, prior_entropy: 3.3219, recall: 0.706, relative_absolute_error: 0.7756, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.8018, scimark_benchmark: 941.4231,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.707, kappa: 0.6761, kb_relative_information_score: 1503.6648, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7074, predictive_accuracy: 0.7085, prior_entropy: 3.3219, recall: 0.7085, relative_absolute_error: 0.377, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.6269, scimark_benchmark: 943.4825,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, f_measure: 0.4601, kappa: 0.4122, kb_relative_information_score: 1036.3885, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.4574, predictive_accuracy: 0.471, prior_entropy: 3.3219, recall: 0.471, relative_absolute_error: 0.5993, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.9127, scimark_benchmark: 906.5019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.7031, kappa: 0.6733, kb_relative_information_score: 856.4858, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.708, predictive_accuracy: 0.706, prior_entropy: 3.3219, recall: 0.706, relative_absolute_error: 0.7756, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.8018, scimark_benchmark: 938.5471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.6932, kappa: 0.6589, kb_relative_information_score: 1391.1732, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6939, predictive_accuracy: 0.693, prior_entropy: 3.3219, recall: 0.693, relative_absolute_error: 0.3382, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.785, scimark_benchmark: 947.2318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.6835, kappa: 0.6489, kb_relative_information_score: 1363.8735, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6836, predictive_accuracy: 0.684, prior_entropy: 3.3219, recall: 0.684, relative_absolute_error: 0.3551, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2402, root_relative_squared_error: 0.8006, scimark_benchmark: 945.6503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.7018, kappa: 0.67, kb_relative_information_score: 1502.4242, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7016, predictive_accuracy: 0.703, prior_entropy: 3.3219, recall: 0.703, relative_absolute_error: 0.3638, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1927, root_relative_squared_error: 0.6424, scimark_benchmark: 945.1859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.6914, kappa: 0.6583, kb_relative_information_score: 1360.9367, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6911, predictive_accuracy: 0.6925, prior_entropy: 3.3219, recall: 0.6925, relative_absolute_error: 0.3418, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2461, root_relative_squared_error: 0.8203, scimark_benchmark: 914.2211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.723, kappa: 0.6983, kb_relative_information_score: 1396.8006, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7266, predictive_accuracy: 0.7285, prior_entropy: 3.3219, recall: 0.7285, relative_absolute_error: 0.4321, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.6362, scimark_benchmark: 923.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.7018, kappa: 0.67, kb_relative_information_score: 1508.5588, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7022, predictive_accuracy: 0.703, prior_entropy: 3.3219, recall: 0.703, relative_absolute_error: 0.3629, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.6355, scimark_benchmark: 948.7951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.6798, kappa: 0.6594, kb_relative_information_score: 600.3167, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6917, predictive_accuracy: 0.6935, prior_entropy: 3.3219, recall: 0.6935, relative_absolute_error: 0.8741, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2652, root_relative_squared_error: 0.8841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.707, kappa: 0.6761, kb_relative_information_score: 1503.6648, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7074, predictive_accuracy: 0.7085, prior_entropy: 3.3219, recall: 0.7085, relative_absolute_error: 0.377, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.6269, scimark_benchmark: 926.7182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.6873, kappa: 0.6533, kb_relative_information_score: 1442.8532, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6878, predictive_accuracy: 0.688, prior_entropy: 3.3219, recall: 0.688, relative_absolute_error: 0.3798, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.6925, scimark_benchmark: 945.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.7153, kappa: 0.6911, kb_relative_information_score: 1539.572, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7161, predictive_accuracy: 0.722, prior_entropy: 3.3219, recall: 0.722, relative_absolute_error: 0.3496, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.6068, scimark_benchmark: 943.6844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.6835, kappa: 0.6772, kb_relative_information_score: 554.1616, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7222, predictive_accuracy: 0.7095, prior_entropy: 3.3219, recall: 0.7095, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.9187, scimark_benchmark: 907.1905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.7173, kappa: 0.6867, kb_relative_information_score: 1538.0267, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7179, predictive_accuracy: 0.718, prior_entropy: 3.3219, recall: 0.718, relative_absolute_error: 0.3493, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.6113, scimark_benchmark: 576.5934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.0801, kappa: 0.1106, kb_relative_information_score: 572.1443, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0577, predictive_accuracy: 0.1995, prior_entropy: 3.3219, recall: 0.1995, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.9446, scimark_benchmark: 943.7746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8169, f_measure: 0.6626, kappa: 0.6244, kb_relative_information_score: 1310.9935, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.664, predictive_accuracy: 0.662, prior_entropy: 3.3219, recall: 0.662, relative_absolute_error: 0.3743, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.256, root_relative_squared_error: 0.8533, scimark_benchmark: 941.2031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.6798, kappa: 0.6594, kb_relative_information_score: 600.3167, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6917, predictive_accuracy: 0.6935, prior_entropy: 3.3219, recall: 0.6935, relative_absolute_error: 0.8741, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2652, root_relative_squared_error: 0.8841, scimark_benchmark: 931.8001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.6626, kappa: 0.6244, kb_relative_information_score: 1310.6899, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.664, predictive_accuracy: 0.662, prior_entropy: 3.3219, recall: 0.662, relative_absolute_error: 0.3745, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.256, root_relative_squared_error: 0.8532, scimark_benchmark: 876.6369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.6873, kappa: 0.6533, kb_relative_information_score: 1442.8532, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6878, predictive_accuracy: 0.688, prior_entropy: 3.3219, recall: 0.688, relative_absolute_error: 0.3798, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.6925, scimark_benchmark: 942.0839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.718, kappa: 0.6883, kb_relative_information_score: 1446.7507, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7179, predictive_accuracy: 0.7195, prior_entropy: 3.3219, recall: 0.7195, relative_absolute_error: 0.3122, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.7426, scimark_benchmark: 945.6878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.721, kappa: 0.6917, kb_relative_information_score: 1431.5255, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7258, predictive_accuracy: 0.7225, prior_entropy: 3.3219, recall: 0.7225, relative_absolute_error: 0.437, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.632, scimark_benchmark: 938.6426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.6677, kappa: 0.6294, kb_relative_information_score: 1422.8639, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6693, predictive_accuracy: 0.6665, prior_entropy: 3.3219, recall: 0.6665, relative_absolute_error: 0.3656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.728, scimark_benchmark: 945.7544,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.6781, kappa: 0.6472, kb_relative_information_score: 1419.4159, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6811, predictive_accuracy: 0.6825, prior_entropy: 3.3219, recall: 0.6825, relative_absolute_error: 0.4202, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.6725, scimark_benchmark: 942.6891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.6671, kappa: 0.6289, kb_relative_information_score: 1426.7497, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6685, predictive_accuracy: 0.666, prior_entropy: 3.3219, recall: 0.666, relative_absolute_error: 0.3642, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.7257, scimark_benchmark: 946.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7591, f_measure: 0.0895, kappa: 0.1111, kb_relative_information_score: 571.9177, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.1584, predictive_accuracy: 0.2, prior_entropy: 3.3219, recall: 0.2, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.9446, scimark_benchmark: 925.4504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.6827, kappa: 0.66, kb_relative_information_score: 1468.8625, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6933, predictive_accuracy: 0.694, prior_entropy: 3.3219, recall: 0.694, relative_absolute_error: 0.3702, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.204, root_relative_squared_error: 0.6801, scimark_benchmark: 926.1159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.7383, kappa: 0.71, kb_relative_information_score: 1521.0845, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7411, predictive_accuracy: 0.739, prior_entropy: 3.3219, recall: 0.739, relative_absolute_error: 0.3728, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.6021, scimark_benchmark: 946.1227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.7058, kappa: 0.6767, kb_relative_information_score: 741.2521, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.715, predictive_accuracy: 0.709, prior_entropy: 3.3219, recall: 0.709, relative_absolute_error: 0.8248, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.8419, scimark_benchmark: 942.2877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7092, f_measure: 0.4669, kappa: 0.4183, kb_relative_information_score: 905.0919, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.4641, predictive_accuracy: 0.4765, prior_entropy: 3.3219, recall: 0.4765, relative_absolute_error: 0.5817, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3236, root_relative_squared_error: 1.0786, scimark_benchmark: 943.2423,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.7083, kappa: 0.6772, kb_relative_information_score: 1487.5128, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7093, predictive_accuracy: 0.7095, prior_entropy: 3.3219, recall: 0.7095, relative_absolute_error: 0.3782, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.6479, scimark_benchmark: 946.9866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, f_measure: 0.6711, kappa: 0.645, kb_relative_information_score: 1457.2471, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6756, predictive_accuracy: 0.6805, prior_entropy: 3.3219, recall: 0.6805, relative_absolute_error: 0.3647, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.6949, scimark_benchmark: 931.5469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.707, kappa: 0.6761, kb_relative_information_score: 1503.6648, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7074, predictive_accuracy: 0.7085, prior_entropy: 3.3219, recall: 0.7085, relative_absolute_error: 0.377, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.6269, scimark_benchmark: 944.8458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.7067, kappa: 0.6911, kb_relative_information_score: 1515.0973, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7087, predictive_accuracy: 0.722, prior_entropy: 3.3219, recall: 0.722, relative_absolute_error: 0.3232, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.6631, scimark_benchmark: 944.9845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.6675, kappa: 0.6517, kb_relative_information_score: 1429.5948, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6803, predictive_accuracy: 0.6865, prior_entropy: 3.3219, recall: 0.6865, relative_absolute_error: 0.433, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.6596, scimark_benchmark: 859.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.6974, kappa: 0.6683, kb_relative_information_score: 1456.2086, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7016, predictive_accuracy: 0.7015, prior_entropy: 3.3219, recall: 0.7015, relative_absolute_error: 0.4126, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.652,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs