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OpenML
OpenML
Supervised Classification on sonar

Supervised Classification on sonar

Task 39 Supervised Classification sonar 915 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
  • basic mythbusting mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_29 study_30 study_41 study_50 study_7 under100k under1m
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Metric:

915 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7361, f_measure: 0.7021, kappa: 0.4058, kb_relative_information_score: 80.0422, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7069, predictive_accuracy: 0.7019, prior_entropy: 0.9968, recall: 0.7019, relative_absolute_error: 0.6184, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5133, root_relative_squared_error: 1.029, scimark_benchmark: 913.9306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.8121, kappa: 0.6221, kb_relative_information_score: 131.942, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8126, predictive_accuracy: 0.8125, prior_entropy: 0.9968, recall: 0.8125, relative_absolute_error: 0.3621, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.385, root_relative_squared_error: 0.7718, scimark_benchmark: 949.3116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3714, kb_relative_information_score: 12.7373, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.2848, predictive_accuracy: 0.5337, prior_entropy: 0.9968, recall: 0.5337, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6829, root_relative_squared_error: 1.3689, scimark_benchmark: 924.8625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.8601, kappa: 0.7186, kb_relative_information_score: 149.6135, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8616, predictive_accuracy: 0.8606, prior_entropy: 0.9968, recall: 0.8606, relative_absolute_error: 0.2801, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.7485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.8262, kappa: 0.6505, kb_relative_information_score: 135.5233, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.828, predictive_accuracy: 0.8269, prior_entropy: 0.9968, recall: 0.8269, relative_absolute_error: 0.3477, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8339, scimark_benchmark: 914.4314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.7975, kappa: 0.5927, kb_relative_information_score: 123.446, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7983, predictive_accuracy: 0.7981, prior_entropy: 0.9968, recall: 0.7981, relative_absolute_error: 0.4057, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.9008, scimark_benchmark: 876.9171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6495, f_measure: 0.6232, kappa: 0.3128, kb_relative_information_score: 71.111, mean_absolute_error: 0.3269, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7973, predictive_accuracy: 0.6731, prior_entropy: 0.9968, recall: 0.6731, relative_absolute_error: 0.6568, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5718, root_relative_squared_error: 1.1461, scimark_benchmark: 947.0883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3714, kb_relative_information_score: 12.7373, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.2848, predictive_accuracy: 0.5337, prior_entropy: 0.9968, recall: 0.5337, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6829, root_relative_squared_error: 1.3689, scimark_benchmark: 921.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.7246, kappa: 0.4462, kb_relative_information_score: 69.6317, mean_absolute_error: 0.3399, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7261, predictive_accuracy: 0.726, prior_entropy: 0.9968, recall: 0.726, relative_absolute_error: 0.6828, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8291, scimark_benchmark: 948.8543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, f_measure: 0.8605, kappa: 0.7197, kb_relative_information_score: 149.6135, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8605, predictive_accuracy: 0.8606, prior_entropy: 0.9968, recall: 0.8606, relative_absolute_error: 0.2801, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.7485, scimark_benchmark: 947.6768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.7207, kappa: 0.4383, kb_relative_information_score: 75.8966, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7208, predictive_accuracy: 0.7212, prior_entropy: 0.9968, recall: 0.7212, relative_absolute_error: 0.6463, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9488, scimark_benchmark: 910.3832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.8559, kappa: 0.7114, kb_relative_information_score: 138.0364, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8575, predictive_accuracy: 0.8558, prior_entropy: 0.9968, recall: 0.8558, relative_absolute_error: 0.3368, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7108, scimark_benchmark: 914.0542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7222, f_measure: 0.6393, kappa: 0.2751, kb_relative_information_score: 55.3639, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6392, predictive_accuracy: 0.6394, prior_entropy: 0.9968, recall: 0.6394, relative_absolute_error: 0.7426, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4912, root_relative_squared_error: 0.9846, scimark_benchmark: 947.9768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.6436, kappa: 0.2834, kb_relative_information_score: 58.1592, mean_absolute_error: 0.3621, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6435, predictive_accuracy: 0.6442, prior_entropy: 0.9968, recall: 0.6442, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4905, root_relative_squared_error: 0.9832, scimark_benchmark: 945.9126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7512, f_measure: 0.7017, kappa: 0.4004, kb_relative_information_score: 75.6451, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7016, predictive_accuracy: 0.7019, prior_entropy: 0.9968, recall: 0.7019, relative_absolute_error: 0.6471, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4856, root_relative_squared_error: 0.9734, scimark_benchmark: 944.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7044, f_measure: 0.7076, kappa: 0.4136, kb_relative_information_score: 87.2141, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7147, predictive_accuracy: 0.7115, prior_entropy: 0.9968, recall: 0.7115, relative_absolute_error: 0.5795, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5371, root_relative_squared_error: 1.0766, scimark_benchmark: 943.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, f_measure: 0.826, kappa: 0.65, kb_relative_information_score: 130.881, mean_absolute_error: 0.1872, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8289, predictive_accuracy: 0.8269, prior_entropy: 0.9968, recall: 0.8269, relative_absolute_error: 0.3762, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7542, scimark_benchmark: 946.6413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.678, kappa: 0.3533, kb_relative_information_score: 72.5339, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6781, predictive_accuracy: 0.6779, prior_entropy: 0.9968, recall: 0.6779, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0979, scimark_benchmark: 906.0899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7429, f_measure: 0.6775, kappa: 0.3516, kb_relative_information_score: 63.5632, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6774, predictive_accuracy: 0.6779, prior_entropy: 0.9968, recall: 0.6779, relative_absolute_error: 0.7071, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4764, root_relative_squared_error: 0.9549, scimark_benchmark: 949.5493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3714, kb_relative_information_score: 12.7373, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.2848, predictive_accuracy: 0.5337, prior_entropy: 0.9968, recall: 0.5337, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6829, root_relative_squared_error: 1.3689, scimark_benchmark: 949.3608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5815, f_measure: 0.5822, kappa: 0.1624, kb_relative_information_score: 32.8662, mean_absolute_error: 0.4183, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.5833, predictive_accuracy: 0.5817, prior_entropy: 0.9968, recall: 0.5817, relative_absolute_error: 0.8403, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6467, root_relative_squared_error: 1.2964, scimark_benchmark: 940.6241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.8696, kappa: 0.7377, kb_relative_information_score: 153.6392, mean_absolute_error: 0.1298, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8723, predictive_accuracy: 0.8702, prior_entropy: 0.9968, recall: 0.8702, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.7222, scimark_benchmark: 944.9663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8953, f_measure: 0.7953, kappa: 0.5895, kb_relative_information_score: 80.1707, mean_absolute_error: 0.3249, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8051, predictive_accuracy: 0.7981, prior_entropy: 0.9968, recall: 0.7981, relative_absolute_error: 0.6526, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.756, scimark_benchmark: 945.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.7334, kappa: 0.4642, kb_relative_information_score: 101.4383, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7371, predictive_accuracy: 0.7356, prior_entropy: 0.9968, recall: 0.7356, relative_absolute_error: 0.5092, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9107, scimark_benchmark: 946.9873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6972, f_measure: 0.678, kappa: 0.3533, kb_relative_information_score: 72.3715, mean_absolute_error: 0.3249, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6781, predictive_accuracy: 0.6779, prior_entropy: 0.9968, recall: 0.6779, relative_absolute_error: 0.6528, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5455, root_relative_squared_error: 1.0935, scimark_benchmark: 911.4183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3714, kb_relative_information_score: 12.7373, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.2848, predictive_accuracy: 0.5337, prior_entropy: 0.9968, recall: 0.5337, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6829, root_relative_squared_error: 1.3689, scimark_benchmark: 942.1151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7347, f_measure: 0.7357, kappa: 0.4691, kb_relative_information_score: 97.2785, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7358, predictive_accuracy: 0.7356, prior_entropy: 0.9968, recall: 0.7356, relative_absolute_error: 0.5312, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5142, root_relative_squared_error: 1.0308, scimark_benchmark: 945.7421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4852, f_measure: 0.3714, kb_relative_information_score: -0.0408, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.2848, predictive_accuracy: 0.5337, prior_entropy: 0.9968, recall: 0.5337, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4989, root_relative_squared_error: 1.0001, scimark_benchmark: 910.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.7776, kappa: 0.5528, kb_relative_information_score: 96.2464, mean_absolute_error: 0.2758, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.78, predictive_accuracy: 0.7788, prior_entropy: 0.9968, recall: 0.7788, relative_absolute_error: 0.5541, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8256, scimark_benchmark: 945.7785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3714, kb_relative_information_score: 12.7373, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.2848, predictive_accuracy: 0.5337, prior_entropy: 0.9968, recall: 0.5337, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6829, root_relative_squared_error: 1.3689, scimark_benchmark: 948.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.8459, kappa: 0.6901, kb_relative_information_score: 143.5748, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8463, predictive_accuracy: 0.8462, prior_entropy: 0.9968, recall: 0.8462, relative_absolute_error: 0.3091, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.7862, scimark_benchmark: 945.6692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.826, kappa: 0.65, kb_relative_information_score: 135.8276, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8289, predictive_accuracy: 0.8269, prior_entropy: 0.9968, recall: 0.8269, relative_absolute_error: 0.3457, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.7648, scimark_benchmark: 948.0585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3714, kb_relative_information_score: 12.7373, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.2848, predictive_accuracy: 0.5337, prior_entropy: 0.9968, recall: 0.5337, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6829, root_relative_squared_error: 1.3689, scimark_benchmark: 947.6103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3714, kb_relative_information_score: 12.7373, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.2848, predictive_accuracy: 0.5337, prior_entropy: 0.9968, recall: 0.5337, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6829, root_relative_squared_error: 1.3689, scimark_benchmark: 949.3604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7533, f_measure: 0.7064, kappa: 0.4096, kb_relative_information_score: 76.3542, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7063, predictive_accuracy: 0.7067, prior_entropy: 0.9968, recall: 0.7067, relative_absolute_error: 0.6452, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4818, root_relative_squared_error: 0.9657, scimark_benchmark: 921.9589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7594, f_measure: 0.6635, kappa: 0.3239, kb_relative_information_score: 64.8918, mean_absolute_error: 0.3461, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6635, predictive_accuracy: 0.6635, prior_entropy: 0.9968, recall: 0.6635, relative_absolute_error: 0.6953, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.481, root_relative_squared_error: 0.9642, scimark_benchmark: 947.9623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.8696, kappa: 0.7377, kb_relative_information_score: 153.6392, mean_absolute_error: 0.1298, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8723, predictive_accuracy: 0.8702, prior_entropy: 0.9968, recall: 0.8702, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.7222, scimark_benchmark: 907.9131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7823, f_measure: 0.3714, kb_relative_information_score: 16.8795, mean_absolute_error: 0.4535, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.2848, predictive_accuracy: 0.5337, prior_entropy: 0.9968, recall: 0.5337, relative_absolute_error: 0.9112, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6459, root_relative_squared_error: 1.2947, scimark_benchmark: 884.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7846, f_measure: 0.7385, kappa: 0.4743, kb_relative_information_score: 76.9913, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7416, predictive_accuracy: 0.7404, prior_entropy: 0.9968, recall: 0.7404, relative_absolute_error: 0.6439, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.8791, scimark_benchmark: 919.1053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.6798, kappa: 0.3739, kb_relative_information_score: 73.4099, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7025, predictive_accuracy: 0.6827, prior_entropy: 0.9968, recall: 0.6827, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.537, root_relative_squared_error: 1.0764, scimark_benchmark: 946.8249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, f_measure: 0.6864, kappa: 0.3693, kb_relative_information_score: 74.02, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6869, predictive_accuracy: 0.6875, prior_entropy: 0.9968, recall: 0.6875, relative_absolute_error: 0.6519, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4894, root_relative_squared_error: 0.981, scimark_benchmark: 944.2924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3714, kb_relative_information_score: 12.7373, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.2848, predictive_accuracy: 0.5337, prior_entropy: 0.9968, recall: 0.5337, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6829, root_relative_squared_error: 1.3689, scimark_benchmark: 928.5217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.8306, kappa: 0.6595, kb_relative_information_score: 117.7252, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8343, predictive_accuracy: 0.8317, prior_entropy: 0.9968, recall: 0.8317, relative_absolute_error: 0.4494, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.7086, scimark_benchmark: 948.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7579, f_measure: 0.7594, kappa: 0.5164, kb_relative_information_score: 107.3429, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7594, predictive_accuracy: 0.7596, prior_entropy: 0.9968, recall: 0.7596, relative_absolute_error: 0.4829, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4903, root_relative_squared_error: 0.9828, scimark_benchmark: 946.3756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.678, kappa: 0.3533, kb_relative_information_score: 72.5339, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6781, predictive_accuracy: 0.6779, prior_entropy: 0.9968, recall: 0.6779, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0979, scimark_benchmark: 945.1556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.8459, kappa: 0.6901, kb_relative_information_score: 143.5748, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8463, predictive_accuracy: 0.8462, prior_entropy: 0.9968, recall: 0.8462, relative_absolute_error: 0.3091, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.7862, scimark_benchmark: 948.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.8215, kappa: 0.641, kb_relative_information_score: 125.2477, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8228, predictive_accuracy: 0.8221, prior_entropy: 0.9968, recall: 0.8221, relative_absolute_error: 0.4047, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3805, root_relative_squared_error: 0.7627, scimark_benchmark: 946.5061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.7207, kappa: 0.4383, kb_relative_information_score: 75.8966, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7208, predictive_accuracy: 0.7212, prior_entropy: 0.9968, recall: 0.7212, relative_absolute_error: 0.6463, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9488, scimark_benchmark: 910.9097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.7829, kappa: 0.5634, kb_relative_information_score: 80.7453, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.784, predictive_accuracy: 0.7837, prior_entropy: 0.9968, recall: 0.7837, relative_absolute_error: 0.6436, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7674, scimark_benchmark: 946.1027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7595, f_measure: 0.6682, kappa: 0.3331, kb_relative_information_score: 66.9003, mean_absolute_error: 0.341, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6681, predictive_accuracy: 0.6683, prior_entropy: 0.9968, recall: 0.6683, relative_absolute_error: 0.685, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4788, root_relative_squared_error: 0.9599, scimark_benchmark: 922.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.8214, kappa: 0.6454, kb_relative_information_score: 135.5233, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8542, predictive_accuracy: 0.8269, prior_entropy: 0.9968, recall: 0.8269, relative_absolute_error: 0.3477, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8339, scimark_benchmark: 947.7573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.6775, kappa: 0.3516, kb_relative_information_score: 69.8441, mean_absolute_error: 0.3336, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6774, predictive_accuracy: 0.6779, prior_entropy: 0.9968, recall: 0.6779, relative_absolute_error: 0.6702, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4766, root_relative_squared_error: 0.9554, scimark_benchmark: 937.5573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.7691, kappa: 0.5358, kb_relative_information_score: 75.2924, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.769, predictive_accuracy: 0.7692, prior_entropy: 0.9968, recall: 0.7692, relative_absolute_error: 0.6653, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4177, root_relative_squared_error: 0.8373, scimark_benchmark: 910.7739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.567, f_measure: 0.4974, kappa: 0.1418, kb_relative_information_score: 38.9048, mean_absolute_error: 0.4038, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7701, predictive_accuracy: 0.5962, prior_entropy: 0.9968, recall: 0.5962, relative_absolute_error: 0.8113, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6355, root_relative_squared_error: 1.2739, scimark_benchmark: 941.4791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7081, f_measure: 0.6588, kappa: 0.3146, kb_relative_information_score: 54.7489, mean_absolute_error: 0.3739, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6589, predictive_accuracy: 0.6587, prior_entropy: 0.9968, recall: 0.6587, relative_absolute_error: 0.7513, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4887, root_relative_squared_error: 0.9796, scimark_benchmark: 914.6886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.7923, kappa: 0.5822, kb_relative_information_score: 78.0349, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7943, predictive_accuracy: 0.7933, prior_entropy: 0.9968, recall: 0.7933, relative_absolute_error: 0.6614, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7711, scimark_benchmark: 891.3987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7119, f_measure: 0.6975, kappa: 0.3942, kb_relative_information_score: 81.9713, mean_absolute_error: 0.3009, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6994, predictive_accuracy: 0.6971, prior_entropy: 0.9968, recall: 0.6971, relative_absolute_error: 0.6044, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5473, root_relative_squared_error: 1.0971, scimark_benchmark: 903.7914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.8594, kappa: 0.7175, kb_relative_information_score: 149.1767, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8652, predictive_accuracy: 0.8606, prior_entropy: 0.9968, recall: 0.8606, relative_absolute_error: 0.2819, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7347, scimark_benchmark: 945.7053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.8223, kappa: 0.6433, kb_relative_information_score: 96.9473, mean_absolute_error: 0.2813, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8227, predictive_accuracy: 0.8221, prior_entropy: 0.9968, recall: 0.8221, relative_absolute_error: 0.565, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.7223, scimark_benchmark: 926.5898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7881, f_measure: 0.6999, kappa: 0.4011, kb_relative_information_score: 31.0797, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7147, predictive_accuracy: 0.7067, prior_entropy: 0.9968, recall: 0.7067, relative_absolute_error: 0.8792, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4515, root_relative_squared_error: 0.9051, scimark_benchmark: 916.3666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4852, f_measure: 0.3714, kb_relative_information_score: -0.0408, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.2848, predictive_accuracy: 0.5337, prior_entropy: 0.9968, recall: 0.5337, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4989, root_relative_squared_error: 1.0001, scimark_benchmark: 923.0993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.6798, kappa: 0.3739, kb_relative_information_score: 73.4099, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7025, predictive_accuracy: 0.6827, prior_entropy: 0.9968, recall: 0.6827, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.537, root_relative_squared_error: 1.0764, scimark_benchmark: 944.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.8552, kappa: 0.7087, kb_relative_information_score: 146.4656, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8572, predictive_accuracy: 0.8558, prior_entropy: 0.9968, recall: 0.8558, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.7573, scimark_benchmark: 2012.2442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.7695, kappa: 0.5382, kb_relative_information_score: 111.3687, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.771, predictive_accuracy: 0.7692, prior_entropy: 0.9968, recall: 0.7692, relative_absolute_error: 0.4636, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4804, root_relative_squared_error: 0.963, scimark_benchmark: 2009.5211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.7259, kappa: 0.4491, kb_relative_information_score: 82.9745, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7258, predictive_accuracy: 0.726, prior_entropy: 0.9968, recall: 0.726, relative_absolute_error: 0.6153, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8654, scimark_benchmark: 2018.1648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.686, kappa: 0.3685, kb_relative_information_score: 58.7591, mean_absolute_error: 0.3672, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6871, predictive_accuracy: 0.6875, prior_entropy: 0.9968, recall: 0.6875, relative_absolute_error: 0.7378, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4879, root_relative_squared_error: 0.978, scimark_benchmark: 2017.4684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7119, f_measure: 0.6975, kappa: 0.3942, kb_relative_information_score: 81.9713, mean_absolute_error: 0.3009, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6994, predictive_accuracy: 0.6971, prior_entropy: 0.9968, recall: 0.6971, relative_absolute_error: 0.6044, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5473, root_relative_squared_error: 1.0971, scimark_benchmark: 2011.2867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4852, f_measure: 0.3714, kb_relative_information_score: -0.0408, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.2848, predictive_accuracy: 0.5337, prior_entropy: 0.9968, recall: 0.5337, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4989, root_relative_squared_error: 1.0001, scimark_benchmark: 2005.8173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7638, f_measure: 0.7449, kappa: 0.4871, kb_relative_information_score: 89.5347, mean_absolute_error: 0.2922, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7449, predictive_accuracy: 0.7452, prior_entropy: 0.9968, recall: 0.7452, relative_absolute_error: 0.587, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9098, scimark_benchmark: 2007.8551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.678, kappa: 0.3533, kb_relative_information_score: 72.5339, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6781, predictive_accuracy: 0.6779, prior_entropy: 0.9968, recall: 0.6779, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0979, scimark_benchmark: 2008.3373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.678, f_measure: 0.7016, kappa: 0.4026, kb_relative_information_score: 50.7535, mean_absolute_error: 0.3929, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7115, predictive_accuracy: 0.7067, prior_entropy: 0.9968, recall: 0.7067, relative_absolute_error: 0.7893, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4601, root_relative_squared_error: 0.9222, scimark_benchmark: 2006.4751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.7501, kappa: 0.5016, kb_relative_information_score: 80.3608, mean_absolute_error: 0.3207, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7553, predictive_accuracy: 0.75, prior_entropy: 0.9968, recall: 0.75, relative_absolute_error: 0.6442, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.7705, scimark_benchmark: 2024.3144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.7772, kappa: 0.5522, kb_relative_information_score: 78.898, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7809, predictive_accuracy: 0.7788, prior_entropy: 0.9968, recall: 0.7788, relative_absolute_error: 0.6554, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7806, scimark_benchmark: 1988.1864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, f_measure: 0.6753, kappa: 0.364, kb_relative_information_score: 76.3358, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6962, predictive_accuracy: 0.6779, prior_entropy: 0.9968, recall: 0.6779, relative_absolute_error: 0.6312, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5278, root_relative_squared_error: 1.058, scimark_benchmark: 1945.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.6536, kappa: 0.3559, kb_relative_information_score: 79.1625, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7923, predictive_accuracy: 0.6923, prior_entropy: 0.9968, recall: 0.6923, relative_absolute_error: 0.6182, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5547, root_relative_squared_error: 1.1119, scimark_benchmark: 1957.3824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6252, f_measure: 0.6266, kappa: 0.2543, kb_relative_information_score: 55.0079, mean_absolute_error: 0.3654, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6363, predictive_accuracy: 0.6346, prior_entropy: 0.9968, recall: 0.6346, relative_absolute_error: 0.7341, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6045, root_relative_squared_error: 1.2117, scimark_benchmark: 1979.5781,

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

OpenML bootcamp

From your own software

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

OpenML APIs