Task
Supervised Classification on soybean

Supervised Classification on soybean

Task 41 Supervised Classification soybean 16132 runs submitted
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  • at2 basic OpenML100 study_1 study_107 study_123 study_14 study_41 study_70 under100k under1m
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16132 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9217, kappa: 0.9164, kb_relative_information_score: 620.9743, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9256, predictive_accuracy: 0.9239, prior_entropy: 3.8572, recall: 0.9239, relative_absolute_error: 0.1405, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0836, root_relative_squared_error: 0.3814, scimark_benchmark: 949.7787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.8806, kappa: 0.8711, kb_relative_information_score: 606.7732, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8966, predictive_accuracy: 0.8829, prior_entropy: 3.8572, recall: 0.8829, relative_absolute_error: 0.1938, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.4167, scimark_benchmark: 944.9733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9244, kappa: 0.9181, kb_relative_information_score: 597.2052, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9285, predictive_accuracy: 0.9253, prior_entropy: 3.8572, recall: 0.9253, relative_absolute_error: 0.2455, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.4117, scimark_benchmark: 949.0701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9312, kappa: 0.9246, kb_relative_information_score: 128.9388, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9322, predictive_accuracy: 0.9312, prior_entropy: 3.8572, recall: 0.9312, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.9724, scimark_benchmark: 945.2985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9232, kappa: 0.918, kb_relative_information_score: 621.7875, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9269, predictive_accuracy: 0.9253, prior_entropy: 3.8572, recall: 0.9253, relative_absolute_error: 0.1394, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.3785, scimark_benchmark: 884.0209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.1595, kappa: 0.1942, kb_relative_information_score: 220.1396, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.1327, predictive_accuracy: 0.2796, prior_entropy: 3.8572, recall: 0.2796, relative_absolute_error: 0.8595, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.9278, scimark_benchmark: 912.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.4101, kappa: 0.3408, kb_relative_information_score: 72.7976, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.6026, predictive_accuracy: 0.4261, prior_entropy: 3.8572, recall: 0.4261, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.9922, scimark_benchmark: 949.0344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9399, kappa: 0.9342, kb_relative_information_score: 647.1692, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9413, predictive_accuracy: 0.94, prior_entropy: 3.8572, recall: 0.94, relative_absolute_error: 0.0784, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.065, root_relative_squared_error: 0.2965, scimark_benchmark: 947.0063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5766, f_measure: 0.2221, kappa: 0.1381, kb_relative_information_score: 40.0505, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.5368, predictive_accuracy: 0.2504, prior_entropy: 3.8572, recall: 0.2504, relative_absolute_error: 1.0099, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2195, root_relative_squared_error: 1.0016, scimark_benchmark: 938.1252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6012, f_measure: 0.0756, kappa: 0.0172, kb_relative_information_score: 43.6312, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.1289, predictive_accuracy: 0.1493, prior_entropy: 3.8572, recall: 0.1493, relative_absolute_error: 1.0104, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2196, root_relative_squared_error: 1.0022, scimark_benchmark: 948.0435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.8719, kappa: 0.8629, kb_relative_information_score: 601.6002, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8925, predictive_accuracy: 0.8755, prior_entropy: 3.8572, recall: 0.8755, relative_absolute_error: 0.208, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.094, root_relative_squared_error: 0.429, scimark_benchmark: 945.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9222, kappa: 0.9149, kb_relative_information_score: 128.879, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9239, predictive_accuracy: 0.9224, prior_entropy: 3.8572, recall: 0.9224, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.213, root_relative_squared_error: 0.9723, scimark_benchmark: 948.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.1595, kappa: 0.1942, kb_relative_information_score: 220.1396, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.1327, predictive_accuracy: 0.2796, prior_entropy: 3.8572, recall: 0.2796, relative_absolute_error: 0.8595, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.9278, scimark_benchmark: 945.6535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9306, kappa: 0.9245, kb_relative_information_score: 128.9009, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9355, predictive_accuracy: 0.9312, prior_entropy: 3.8572, recall: 0.9312, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.213, root_relative_squared_error: 0.9723, scimark_benchmark: 947.1246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6593, f_measure: 0.2971, kappa: 0.3186, kb_relative_information_score: 211.8908, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.2669, predictive_accuracy: 0.3982, prior_entropy: 3.8572, recall: 0.3982, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2517, root_relative_squared_error: 1.1486, scimark_benchmark: 946.7247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6593, f_measure: 0.2971, kappa: 0.3186, kb_relative_information_score: 211.8908, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.2669, predictive_accuracy: 0.3982, prior_entropy: 3.8572, recall: 0.3982, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2517, root_relative_squared_error: 1.1486, scimark_benchmark: 950.6791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9188, kappa: 0.9116, kb_relative_information_score: 623.1442, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.921, predictive_accuracy: 0.9195, prior_entropy: 3.8572, recall: 0.9195, relative_absolute_error: 0.1253, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.4006, scimark_benchmark: 916.1355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.8594, kappa: 0.8612, kb_relative_information_score: 563.5442, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.866, predictive_accuracy: 0.8741, prior_entropy: 3.8572, recall: 0.8741, relative_absolute_error: 0.297, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1056, root_relative_squared_error: 0.4819, scimark_benchmark: 947.1507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.7647, kappa: 0.7789, kb_relative_information_score: 538.1918, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.7512, predictive_accuracy: 0.7994, prior_entropy: 3.8572, recall: 0.7994, relative_absolute_error: 0.3402, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.123, root_relative_squared_error: 0.5614, scimark_benchmark: 947.7669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.8544, kappa: 0.8547, kb_relative_information_score: 562.5192, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8602, predictive_accuracy: 0.8682, prior_entropy: 3.8572, recall: 0.8682, relative_absolute_error: 0.3004, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1063, root_relative_squared_error: 0.4851, scimark_benchmark: 946.6996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.8549, kappa: 0.8466, kb_relative_information_score: 580.8277, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8852, predictive_accuracy: 0.8609, prior_entropy: 3.8572, recall: 0.8609, relative_absolute_error: 0.2655, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1043, root_relative_squared_error: 0.476, scimark_benchmark: 903.9905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9426, kappa: 0.9374, kb_relative_information_score: 646.7311, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9442, predictive_accuracy: 0.9429, prior_entropy: 3.8572, recall: 0.9429, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0646, root_relative_squared_error: 0.295, scimark_benchmark: 948.4746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9319, kappa: 0.9277, kb_relative_information_score: 128.8703, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9384, predictive_accuracy: 0.9341, prior_entropy: 3.8572, recall: 0.9341, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.9724, scimark_benchmark: 947.2213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.937, kappa: 0.931, kb_relative_information_score: 128.9175, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9385, predictive_accuracy: 0.937, prior_entropy: 3.8572, recall: 0.937, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.213, root_relative_squared_error: 0.972, scimark_benchmark: 947.6539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.8891, kappa: 0.8792, kb_relative_information_score: 613.8484, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9014, predictive_accuracy: 0.8902, prior_entropy: 3.8572, recall: 0.8902, relative_absolute_error: 0.1749, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0869, root_relative_squared_error: 0.3965, scimark_benchmark: 915.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9222, kappa: 0.9149, kb_relative_information_score: 128.879, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9239, predictive_accuracy: 0.9224, prior_entropy: 3.8572, recall: 0.9224, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.213, root_relative_squared_error: 0.9723, scimark_benchmark: 909.2439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.4369, kappa: 0.3726, kb_relative_information_score: 76.6681, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.6311, predictive_accuracy: 0.4524, prior_entropy: 3.8572, recall: 0.4524, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.991, scimark_benchmark: 948.4371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.8727, kappa: 0.8696, kb_relative_information_score: 595.5711, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8704, predictive_accuracy: 0.8814, prior_entropy: 3.8572, recall: 0.8814, relative_absolute_error: 0.2052, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0969, root_relative_squared_error: 0.4421, scimark_benchmark: 946.8047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6593, f_measure: 0.2971, kappa: 0.3186, kb_relative_information_score: 211.8908, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.2669, predictive_accuracy: 0.3982, prior_entropy: 3.8572, recall: 0.3982, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2517, root_relative_squared_error: 1.1486, scimark_benchmark: 941.9069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.838, kappa: 0.8149, kb_relative_information_score: 367.4555, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8767, predictive_accuracy: 0.8316, prior_entropy: 3.8572, recall: 0.8316, relative_absolute_error: 0.7044, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.7404, scimark_benchmark: 945.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.629, f_measure: 0.2221, kappa: 0.1381, kb_relative_information_score: 45.1977, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.5368, predictive_accuracy: 0.2504, prior_entropy: 3.8572, recall: 0.2504, relative_absolute_error: 1.0084, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2193, root_relative_squared_error: 1.0009, scimark_benchmark: 950.1439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9281, kappa: 0.9213, kb_relative_information_score: 128.8888, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9301, predictive_accuracy: 0.9283, prior_entropy: 3.8572, recall: 0.9283, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.213, root_relative_squared_error: 0.9723, scimark_benchmark: 944.6982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.2221, kappa: 0.1381, kb_relative_information_score: 57.3384, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.5368, predictive_accuracy: 0.2504, prior_entropy: 3.8572, recall: 0.2504, relative_absolute_error: 1.0055, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.9979, scimark_benchmark: 949.4218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9255, kappa: 0.9181, kb_relative_information_score: 128.9004, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9273, predictive_accuracy: 0.9253, prior_entropy: 3.8572, recall: 0.9253, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.9724, scimark_benchmark: 947.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6737, f_measure: 0.0992, kappa: 0.0393, kb_relative_information_score: 53.2026, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.0974, predictive_accuracy: 0.1684, prior_entropy: 3.8572, recall: 0.1684, relative_absolute_error: 1.0076, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.219, root_relative_squared_error: 0.9997, scimark_benchmark: 913.1395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.8614, kappa: 0.8531, kb_relative_information_score: 592.8554, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8884, predictive_accuracy: 0.8668, prior_entropy: 3.8572, recall: 0.8668, relative_absolute_error: 0.2336, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0979, root_relative_squared_error: 0.447, scimark_benchmark: 921.0248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9426, kappa: 0.9374, kb_relative_information_score: 646.7311, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9442, predictive_accuracy: 0.9429, prior_entropy: 3.8572, recall: 0.9429, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0646, root_relative_squared_error: 0.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6944, f_measure: 0.2221, kappa: 0.1381, kb_relative_information_score: 63.1049, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.5368, predictive_accuracy: 0.2504, prior_entropy: 3.8572, recall: 0.2504, relative_absolute_error: 1.0042, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.9966, scimark_benchmark: 948.2133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9259, kappa: 0.9197, kb_relative_information_score: 617.0119, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9279, predictive_accuracy: 0.9268, prior_entropy: 3.8572, recall: 0.9268, relative_absolute_error: 0.1867, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0789, root_relative_squared_error: 0.36, scimark_benchmark: 945.3535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9341, kappa: 0.9278, kb_relative_information_score: 640.9828, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9354, predictive_accuracy: 0.9341, prior_entropy: 3.8572, recall: 0.9341, relative_absolute_error: 0.0914, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.073, root_relative_squared_error: 0.3333, scimark_benchmark: 947.0621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9357, kappa: 0.9309, kb_relative_information_score: 128.8226, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9444, predictive_accuracy: 0.937, prior_entropy: 3.8572, recall: 0.937, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.213, root_relative_squared_error: 0.972, scimark_benchmark: 911.2651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9444, kappa: 0.939, kb_relative_information_score: 647.078, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9454, predictive_accuracy: 0.9444, prior_entropy: 3.8572, recall: 0.9444, relative_absolute_error: 0.0661, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0712, root_relative_squared_error: 0.3249, scimark_benchmark: 925.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.1595, kappa: 0.1942, kb_relative_information_score: 220.1396, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.1327, predictive_accuracy: 0.2796, prior_entropy: 3.8572, recall: 0.2796, relative_absolute_error: 0.8595, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.9278, scimark_benchmark: 949.2802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, f_measure: 0.032, kb_relative_information_score: 0.5232, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.0181, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2191, root_relative_squared_error: 1.0001, scimark_benchmark: 925.1536,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9426, kappa: 0.9374, kb_relative_information_score: 646.7311, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9442, predictive_accuracy: 0.9429, prior_entropy: 3.8572, recall: 0.9429, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0646, root_relative_squared_error: 0.295, scimark_benchmark: 948.4238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.6392, kappa: 0.6183, kb_relative_information_score: 103.4894, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.7271, predictive_accuracy: 0.6618, prior_entropy: 3.8572, recall: 0.6618, relative_absolute_error: 0.9898, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.982, scimark_benchmark: 948.1176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9222, kappa: 0.9149, kb_relative_information_score: 128.879, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9239, predictive_accuracy: 0.9224, prior_entropy: 3.8572, recall: 0.9224, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.213, root_relative_squared_error: 0.9723, scimark_benchmark: 947.6335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6288, f_measure: 0.103, kappa: 0.0551, kb_relative_information_score: 40.4593, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.0818, predictive_accuracy: 0.1816, prior_entropy: 3.8572, recall: 0.1816, relative_absolute_error: 1.0105, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2196, root_relative_squared_error: 1.0023, scimark_benchmark: 946.9002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9338, kappa: 0.9277, kb_relative_information_score: 636.9991, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9348, predictive_accuracy: 0.9341, prior_entropy: 3.8572, recall: 0.9341, relative_absolute_error: 0.0965, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0768, root_relative_squared_error: 0.3506, scimark_benchmark: 911.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7553, f_measure: 0.1102, kappa: 0.1519, kb_relative_information_score: 168.3147, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.0697, predictive_accuracy: 0.2635, prior_entropy: 3.8572, recall: 0.2635, relative_absolute_error: 0.904, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.9511, scimark_benchmark: 927.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9335, kappa: 0.9277, kb_relative_information_score: 625.8729, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9357, predictive_accuracy: 0.9341, prior_entropy: 3.8572, recall: 0.9341, relative_absolute_error: 0.1497, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.3453, scimark_benchmark: 935.8496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9181, kappa: 0.9116, kb_relative_information_score: 596.3693, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9235, predictive_accuracy: 0.9195, prior_entropy: 3.8572, recall: 0.9195, relative_absolute_error: 0.2479, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.416, scimark_benchmark: 911.2406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.937, kappa: 0.931, kb_relative_information_score: 641.6051, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9383, predictive_accuracy: 0.937, prior_entropy: 3.8572, recall: 0.937, relative_absolute_error: 0.0683, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0797, root_relative_squared_error: 0.3635, scimark_benchmark: 948.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9097, kappa: 0.902, kb_relative_information_score: 622.3238, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9144, predictive_accuracy: 0.9107, prior_entropy: 3.8572, recall: 0.9107, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0864, root_relative_squared_error: 0.3943, scimark_benchmark: 944.9642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9393, kappa: 0.9342, kb_relative_information_score: 612.2092, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9417, predictive_accuracy: 0.94, prior_entropy: 3.8572, recall: 0.94, relative_absolute_error: 0.2115, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.3419, scimark_benchmark: 948.5443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9097, kappa: 0.902, kb_relative_information_score: 622.3238, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9144, predictive_accuracy: 0.9107, prior_entropy: 3.8572, recall: 0.9107, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0864, root_relative_squared_error: 0.3943, scimark_benchmark: 861.1627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9431, kappa: 0.9374, kb_relative_information_score: 645.975, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9453, predictive_accuracy: 0.9429, prior_entropy: 3.8572, recall: 0.9429, relative_absolute_error: 0.0665, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.3354, scimark_benchmark: 906.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.9143, kappa: 0.9068, kb_relative_information_score: 622.136, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9176, predictive_accuracy: 0.9151, prior_entropy: 3.8572, recall: 0.9151, relative_absolute_error: 0.1018, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.094, root_relative_squared_error: 0.4291, scimark_benchmark: 934.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9151, kappa: 0.9069, kb_relative_information_score: 633.1595, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.916, predictive_accuracy: 0.9151, prior_entropy: 3.8572, recall: 0.9151, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0841, root_relative_squared_error: 0.3838, scimark_benchmark: 936.6678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.926, kappa: 0.9197, kb_relative_information_score: 631.7063, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.934, predictive_accuracy: 0.9268, prior_entropy: 3.8572, recall: 0.9268, relative_absolute_error: 0.1107, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.3769, scimark_benchmark: 626.5479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.915, kappa: 0.9068, kb_relative_information_score: 626.5053, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9176, predictive_accuracy: 0.9151, prior_entropy: 3.8572, recall: 0.9151, relative_absolute_error: 0.0935, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.4187, scimark_benchmark: 920.4336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9342, kappa: 0.9278, kb_relative_information_score: 642.097, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.935, predictive_accuracy: 0.9341, prior_entropy: 3.8572, recall: 0.9341, relative_absolute_error: 0.0727, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.3592, scimark_benchmark: 938.0551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.5084, kappa: 0.5223, kb_relative_information_score: 320.2628, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.5476, predictive_accuracy: 0.5725, prior_entropy: 3.8572, recall: 0.5725, relative_absolute_error: 0.7707, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.187, root_relative_squared_error: 0.8535, scimark_benchmark: 946.3174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.1595, kappa: 0.1942, kb_relative_information_score: 220.1396, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.1327, predictive_accuracy: 0.2796, prior_entropy: 3.8572, recall: 0.2796, relative_absolute_error: 0.8595, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.9278, scimark_benchmark: 948.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9275, kappa: 0.9213, kb_relative_information_score: 128.7779, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9295, predictive_accuracy: 0.9283, prior_entropy: 3.8572, recall: 0.9283, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.213, root_relative_squared_error: 0.972, scimark_benchmark: 576.8881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9135, kappa: 0.9052, kb_relative_information_score: 631.0837, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9146, predictive_accuracy: 0.9136, prior_entropy: 3.8572, recall: 0.9136, relative_absolute_error: 0.0962, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0848, root_relative_squared_error: 0.3871, scimark_benchmark: 578.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9302, kappa: 0.9245, kb_relative_information_score: 629.8496, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9345, predictive_accuracy: 0.9312, prior_entropy: 3.8572, recall: 0.9312, relative_absolute_error: 0.1417, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0741, root_relative_squared_error: 0.3384, scimark_benchmark: 948.9873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.902, kappa: 0.8924, kb_relative_information_score: 612.628, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.906, predictive_accuracy: 0.9019, prior_entropy: 3.8572, recall: 0.9019, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.4494, scimark_benchmark: 946.7064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9341, kappa: 0.9278, kb_relative_information_score: 628.7041, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9354, predictive_accuracy: 0.9341, prior_entropy: 3.8572, recall: 0.9341, relative_absolute_error: 0.1183, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.082, root_relative_squared_error: 0.374, scimark_benchmark: 921.8309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.1595, kappa: 0.1942, kb_relative_information_score: 220.1396, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.1327, predictive_accuracy: 0.2796, prior_entropy: 3.8572, recall: 0.2796, relative_absolute_error: 0.8595, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.9278, scimark_benchmark: 942.0216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9275, kappa: 0.9213, kb_relative_information_score: 128.7779, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9295, predictive_accuracy: 0.9283, prior_entropy: 3.8572, recall: 0.9283, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.213, root_relative_squared_error: 0.972, scimark_benchmark: 946.4864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9341, kappa: 0.9278, kb_relative_information_score: 628.7041, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9354, predictive_accuracy: 0.9341, prior_entropy: 3.8572, recall: 0.9341, relative_absolute_error: 0.1183, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.082, root_relative_squared_error: 0.374, scimark_benchmark: 934.5593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6236, f_measure: 0.0684, kappa: 0.0159, kb_relative_information_score: 48.4025, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.1715, predictive_accuracy: 0.1479, prior_entropy: 3.8572, recall: 0.1479, relative_absolute_error: 1.009, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2194, root_relative_squared_error: 1.0011, scimark_benchmark: 943.4967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9388, kappa: 0.9326, kb_relative_information_score: 645.5757, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9396, predictive_accuracy: 0.9385, prior_entropy: 3.8572, recall: 0.9385, relative_absolute_error: 0.0635, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.073, root_relative_squared_error: 0.3334, scimark_benchmark: 943.4214,
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: 0.9851, f_measure: 0.937, kappa: 0.931, kb_relative_information_score: 641.6051, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9383, predictive_accuracy: 0.937, prior_entropy: 3.8572, recall: 0.937, relative_absolute_error: 0.0683, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0797, root_relative_squared_error: 0.3635, scimark_benchmark: 946.4529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9429, kappa: 0.9374, kb_relative_information_score: 644.4688, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9437, predictive_accuracy: 0.9429, prior_entropy: 3.8572, recall: 0.9429, relative_absolute_error: 0.0644, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0768, root_relative_squared_error: 0.3504, scimark_benchmark: 946.1471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9341, kappa: 0.9278, kb_relative_information_score: 628.7041, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9354, predictive_accuracy: 0.9341, prior_entropy: 3.8572, recall: 0.9341, relative_absolute_error: 0.1183, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.082, root_relative_squared_error: 0.374, scimark_benchmark: 946.9241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9364, kappa: 0.9309, kb_relative_information_score: 599.7631, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9404, predictive_accuracy: 0.937, prior_entropy: 3.8572, recall: 0.937, relative_absolute_error: 0.2439, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.391, scimark_benchmark: 944.0164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.4631, kappa: 0.4838, kb_relative_information_score: 289.0657, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.4358, predictive_accuracy: 0.5403, prior_entropy: 3.8572, recall: 0.5403, relative_absolute_error: 0.7284, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.7992, scimark_benchmark: 945.6663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9038, kappa: 0.8956, kb_relative_information_score: 622.0669, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9108, predictive_accuracy: 0.9048, prior_entropy: 3.8572, recall: 0.9048, relative_absolute_error: 0.1182, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0916, root_relative_squared_error: 0.418, scimark_benchmark: 939.7425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9353, kappa: 0.9294, kb_relative_information_score: 639.4685, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9365, predictive_accuracy: 0.9356, prior_entropy: 3.8572, recall: 0.9356, relative_absolute_error: 0.0951, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0733, root_relative_squared_error: 0.3347, scimark_benchmark: 935.5992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, f_measure: 0.1584, kappa: 0.1932, kb_relative_information_score: 220.3182, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.1319, predictive_accuracy: 0.2782, prior_entropy: 3.8572, recall: 0.2782, relative_absolute_error: 0.8582, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.9279, scimark_benchmark: 925.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9383, kappa: 0.9326, kb_relative_information_score: 639.1763, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9398, predictive_accuracy: 0.9385, prior_entropy: 3.8572, recall: 0.9385, relative_absolute_error: 0.1021, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0718, root_relative_squared_error: 0.3278, scimark_benchmark: 942.4915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9248, kappa: 0.9183, kb_relative_information_score: 638.2368, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9335, predictive_accuracy: 0.9253, prior_entropy: 3.8572, recall: 0.9253, relative_absolute_error: 0.0885, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.3669, scimark_benchmark: 942.7825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9381, kappa: 0.9326, kb_relative_information_score: 637.0133, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9394, predictive_accuracy: 0.9385, prior_entropy: 3.8572, recall: 0.9385, relative_absolute_error: 0.1134, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0695, root_relative_squared_error: 0.317, scimark_benchmark: 942.3424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9271, f_measure: 0.4038, kappa: 0.4618, kb_relative_information_score: 212.2667, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.3346, predictive_accuracy: 0.5286, prior_entropy: 3.8572, recall: 0.5286, relative_absolute_error: 0.8286, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.8574, scimark_benchmark: 947.3082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.9095, kappa: 0.9021, kb_relative_information_score: 622.6671, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9139, predictive_accuracy: 0.9107, prior_entropy: 3.8572, recall: 0.9107, relative_absolute_error: 0.1056, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.902, kappa: 0.8924, kb_relative_information_score: 612.628, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.906, predictive_accuracy: 0.9019, prior_entropy: 3.8572, recall: 0.9019, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.4494, scimark_benchmark: 924.8775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9469, kappa: 0.9422, kb_relative_information_score: 644.0042, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9477, predictive_accuracy: 0.9473, prior_entropy: 3.8572, recall: 0.9473, relative_absolute_error: 0.0595, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.334, scimark_benchmark: 935.9662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.8595, kappa: 0.8627, kb_relative_information_score: 126.6382, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8722, predictive_accuracy: 0.8755, prior_entropy: 3.8572, recall: 0.8755, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.9734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7551, f_measure: 0.3137, kappa: 0.3342, kb_relative_information_score: 266.1624, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.2891, predictive_accuracy: 0.4085, prior_entropy: 3.8572, recall: 0.4085, relative_absolute_error: 0.6507, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.9964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.4631, kappa: 0.4838, kb_relative_information_score: 289.0657, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.4358, predictive_accuracy: 0.5403, prior_entropy: 3.8572, recall: 0.5403, relative_absolute_error: 0.7284, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.7992, scimark_benchmark: 938.7998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9151, kappa: 0.9068, kb_relative_information_score: 629.9043, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9167, predictive_accuracy: 0.9151, prior_entropy: 3.8572, recall: 0.9151, relative_absolute_error: 0.0959, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.3909, scimark_benchmark: 919.971,
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: 0.9678, f_measure: 0.9095, kappa: 0.9021, kb_relative_information_score: 622.6671, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9139, predictive_accuracy: 0.9107, prior_entropy: 3.8572, recall: 0.9107, relative_absolute_error: 0.1056, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.416, scimark_benchmark: 943.3308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.8588, kappa: 0.8453, kb_relative_information_score: 472.7284, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8751, predictive_accuracy: 0.8594, prior_entropy: 3.8572, recall: 0.8594, relative_absolute_error: 0.5129, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.5896, scimark_benchmark: 943.7437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9137, kappa: 0.9052, kb_relative_information_score: 625.6488, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9163, predictive_accuracy: 0.9136, prior_entropy: 3.8572, recall: 0.9136, relative_absolute_error: 0.0942, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0924, root_relative_squared_error: 0.4215, scimark_benchmark: 945.9977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.8645, kappa: 0.8628, kb_relative_information_score: 597.0108, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.878, predictive_accuracy: 0.8755, prior_entropy: 3.8572, recall: 0.8755, relative_absolute_error: 0.1399, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1045, root_relative_squared_error: 0.477, scimark_benchmark: 939.0626,

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