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OpenML
Task
Supervised Classification on soybean

Supervised Classification on soybean

Task 41 Supervised Classification soybean 16132 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
  • 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: 0.9965, 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: 0.9925, 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: 0.6737, 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: 0.9841, 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: 0.6795, 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: 0.9862, 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: 0.629, 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: 0.9704, 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: 0.6593, 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: 0.9883, 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: 0.8342, 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: 0.9851, 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: 0.9933, 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: 0.9879, 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: 0.9842, 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: 0.9965, 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: 0.9916, 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: 0.9906, 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: 0.9796, 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: 0.8594, 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: 0.9716, 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: 0.6593, 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: 0.6593, 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: 0.987, 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: 0.7988, 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: 0.9851, 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: 0.993, 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: 0.6012, 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: 0.5766, 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: 0.997, 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: 0.8283, 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: 0.7988, 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: 0.9858, 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: 0.9861, 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: 0.9949, 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: 0.9929, 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: 0.9858, 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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.844, kappa: 0.8466, kb_relative_information_score: 563.2194, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8573, predictive_accuracy: 0.8609, prior_entropy: 3.8572, recall: 0.8609, relative_absolute_error: 0.2989, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1057, root_relative_squared_error: 0.4825, scimark_benchmark: 948.2877,
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: 934.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.8571, kappa: 0.8565, kb_relative_information_score: 562.2786, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.863, predictive_accuracy: 0.8697, prior_entropy: 3.8572, recall: 0.8697, relative_absolute_error: 0.3009, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1061, root_relative_squared_error: 0.4842, scimark_benchmark: 945.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6038, f_measure: 0.2221, kappa: 0.1381, kb_relative_information_score: 43.6652, mean_absolute_error: 0.097, 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: 1.0089, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2194, root_relative_squared_error: 1.0013, scimark_benchmark: 946.6408,
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: 944.9962,
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: 934.7163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6081, f_measure: 0.2221, kappa: 0.1381, kb_relative_information_score: 43.681, mean_absolute_error: 0.097, 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: 1.0088, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2194, root_relative_squared_error: 1.0012, scimark_benchmark: 943.7805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5605, f_measure: 0.0625, kappa: 0.0105, kb_relative_information_score: 35.2673, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.1705, predictive_accuracy: 0.1435, prior_entropy: 3.8572, recall: 0.1435, relative_absolute_error: 1.012, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.22, root_relative_squared_error: 1.0043, scimark_benchmark: 948.0743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.922, kappa: 0.9164, kb_relative_information_score: 623.9328, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9255, predictive_accuracy: 0.9239, prior_entropy: 3.8572, recall: 0.9239, relative_absolute_error: 0.1344, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.3765, scimark_benchmark: 941.5835,
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: 945.5439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9462, kappa: 0.9422, kb_relative_information_score: 128.9215, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9536, predictive_accuracy: 0.9473, prior_entropy: 3.8572, recall: 0.9473, relative_absolute_error: 0.9803, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.213, root_relative_squared_error: 0.9723, scimark_benchmark: 946.6365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9, kappa: 0.8906, kb_relative_information_score: 622.0322, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9091, predictive_accuracy: 0.9004, prior_entropy: 3.8572, recall: 0.9004, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0834, root_relative_squared_error: 0.3806, scimark_benchmark: 887.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.791, kappa: 0.7656, kb_relative_information_score: 525.0035, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8175, predictive_accuracy: 0.7862, prior_entropy: 3.8572, recall: 0.7862, relative_absolute_error: 0.2605, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.6666, scimark_benchmark: 948.0184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9354, kappa: 0.9294, kb_relative_information_score: 645.9074, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9374, predictive_accuracy: 0.9356, prior_entropy: 3.8572, recall: 0.9356, relative_absolute_error: 0.0734, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0687, root_relative_squared_error: 0.3137, scimark_benchmark: 910.9111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.7656, kappa: 0.7709, kb_relative_information_score: 536.7975, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.7642, predictive_accuracy: 0.7921, prior_entropy: 3.8572, recall: 0.7921, relative_absolute_error: 0.3493, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1255, root_relative_squared_error: 0.5728, scimark_benchmark: 927.6991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.8929, kappa: 0.887, kb_relative_information_score: 127.0217, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9051, predictive_accuracy: 0.8975, prior_entropy: 3.8572, recall: 0.8975, relative_absolute_error: 0.9811, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.9731, scimark_benchmark: 941.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.8478, kappa: 0.84, kb_relative_information_score: 574.7501, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8802, predictive_accuracy: 0.8551, prior_entropy: 3.8572, recall: 0.8551, relative_absolute_error: 0.2828, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1073, root_relative_squared_error: 0.4897, scimark_benchmark: 923.9255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.8208, kappa: 0.8228, kb_relative_information_score: 567.9216, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8311, predictive_accuracy: 0.8389, prior_entropy: 3.8572, recall: 0.8389, relative_absolute_error: 0.2669, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1094, root_relative_squared_error: 0.4993, scimark_benchmark: 910.8945,
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: 945.2642,

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