Task
Supervised Classification on one-hundred-plants-texture

Supervised Classification on one-hundred-plants-texture

Task 9956 Supervised Classification one-hundred-plants-texture 12911 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_50 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7729, f_measure: 0.5148, kappa: 0.5123, kb_relative_information_score: 851.6748, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.5244, predictive_accuracy: 0.5172, prior_entropy: 6.6438, recall: 0.5172, relative_absolute_error: 0.5092, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0932, root_relative_squared_error: 0.9363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.424, f_measure: 0.0004, kappa: -0.0038, kb_relative_information_score: 3.2528, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.0002, predictive_accuracy: 0.0063, prior_entropy: 6.6438, recall: 0.0063, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001, scimark_benchmark: 1248.2165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.424, f_measure: 0.0004, kappa: -0.0038, kb_relative_information_score: 3.2528, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.0002, predictive_accuracy: 0.0063, prior_entropy: 6.6438, recall: 0.0063, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001, scimark_benchmark: 1241.5236, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.6915, kappa: 0.7012, kb_relative_information_score: 1209.1042, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7027, predictive_accuracy: 0.7042, prior_entropy: 6.6438, recall: 0.7042, relative_absolute_error: 0.3057, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0699, root_relative_squared_error: 0.7022, scimark_benchmark: 1230.3004, usercpu_time_millis: 730, usercpu_time_millis_testing: 670, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.7503, kappa: 0.7397, kb_relative_information_score: 1201.9539, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7732, predictive_accuracy: 0.7423, prior_entropy: 6.6438, recall: 0.7423, relative_absolute_error: 0.2602, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0705, root_relative_squared_error: 0.7089, scimark_benchmark: 1230.3004, usercpu_time_millis: 2630, usercpu_time_millis_testing: 2610, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.3052, kappa: 0.3399, kb_relative_information_score: 100.0909, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.3683, predictive_accuracy: 0.3465, prior_entropy: 6.6438, recall: 0.3465, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.9963, scimark_benchmark: 1230.3004, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.7503, kappa: 0.7397, kb_relative_information_score: 1201.9539, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7732, predictive_accuracy: 0.7423, prior_entropy: 6.6438, recall: 0.7423, relative_absolute_error: 0.2602, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0705, root_relative_squared_error: 0.7089, scimark_benchmark: 1230.3004, usercpu_time_millis: 2690, usercpu_time_millis_testing: 2680, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6283, f_measure: 0.0014, kappa: 0.0019, kb_relative_information_score: 174.0878, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.0008, predictive_accuracy: 0.0119, prior_entropy: 6.6438, recall: 0.0119, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.9969, scimark_benchmark: 479.2609, usercpu_time_millis: 100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.7776, kappa: 0.7776, kb_relative_information_score: 1265.3025, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7884, predictive_accuracy: 0.7799, prior_entropy: 6.6438, recall: 0.7799, relative_absolute_error: 0.2246, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0648, root_relative_squared_error: 0.6518, scimark_benchmark: 473.1656, usercpu_time_millis: 13250, usercpu_time_millis_testing: 6310, usercpu_time_millis_training: 6940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7729, f_measure: 0.5148, kappa: 0.5123, kb_relative_information_score: 851.6748, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.5244, predictive_accuracy: 0.5172, prior_entropy: 6.6438, recall: 0.5172, relative_absolute_error: 0.5092, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0932, root_relative_squared_error: 0.9363, scimark_benchmark: 473.1656, usercpu_time_millis: 1110, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 1020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.7514, kappa: 0.7473, kb_relative_information_score: 1246.7501, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7609, predictive_accuracy: 0.7498, prior_entropy: 6.6438, recall: 0.7498, relative_absolute_error: 0.2525, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0665, root_relative_squared_error: 0.6682, scimark_benchmark: 1254.1389, usercpu_time_millis: 598800, usercpu_time_millis_testing: 770, usercpu_time_millis_training: 598030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, f_measure: 0.7974, kappa: 0.7972, kb_relative_information_score: 1258.9198, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8067, predictive_accuracy: 0.7993, prior_entropy: 6.6438, recall: 0.7993, relative_absolute_error: 0.2546, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.6192, scimark_benchmark: 473.1656, usercpu_time_millis: 3310, usercpu_time_millis_testing: 3300, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.7503, kappa: 0.7397, kb_relative_information_score: 1201.9539, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7732, predictive_accuracy: 0.7423, prior_entropy: 6.6438, recall: 0.7423, relative_absolute_error: 0.2602, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0705, root_relative_squared_error: 0.7089, scimark_benchmark: 1237.0364, usercpu_time_millis: 2830, usercpu_time_millis_testing: 2820, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7761, f_measure: 0.5222, kappa: 0.5186, kb_relative_information_score: 859.7082, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.5311, predictive_accuracy: 0.5235, prior_entropy: 6.6438, recall: 0.5235, relative_absolute_error: 0.5031, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0925, root_relative_squared_error: 0.9295, scimark_benchmark: 1185.2909, usercpu_time_millis: 290, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, f_measure: 0.7974, kappa: 0.7972, kb_relative_information_score: 1258.9198, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8067, predictive_accuracy: 0.7993, prior_entropy: 6.6438, recall: 0.7993, relative_absolute_error: 0.2546, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.6192, scimark_benchmark: 1206.9247, usercpu_time_millis: 820, usercpu_time_millis_testing: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.8114, kappa: 0.8136, kb_relative_information_score: 237.9671, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8211, predictive_accuracy: 0.8155, prior_entropy: 6.6438, recall: 0.8155, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0987, root_relative_squared_error: 0.9917, scimark_benchmark: 1255.8475, usercpu_time_millis: 59080, usercpu_time_millis_testing: 38620, usercpu_time_millis_training: 20460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.8226, kappa: 0.8263, kb_relative_information_score: 1385.953, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8254, predictive_accuracy: 0.828, prior_entropy: 6.6438, recall: 0.828, relative_absolute_error: 0.2415, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0513, root_relative_squared_error: 0.516, scimark_benchmark: 477.5733, usercpu_time_millis: 711910, usercpu_time_millis_testing: 580, usercpu_time_millis_training: 711330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.2737, kappa: 0.3165, kb_relative_information_score: 588.3236, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.3143, predictive_accuracy: 0.3233, prior_entropy: 6.6438, recall: 0.3233, relative_absolute_error: 0.915, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0928, root_relative_squared_error: 0.9329, scimark_benchmark: 1243.6929, usercpu_time_millis: 337190, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 336910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6456, f_measure: 0.2467, kappa: 0.2912, kb_relative_information_score: 474.4927, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.2492, predictive_accuracy: 0.2983, prior_entropy: 6.6438, recall: 0.2983, relative_absolute_error: 0.7088, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1185, root_relative_squared_error: 1.1906, usercpu_time_millis: 34.854, usercpu_time_millis_testing: 0.226, usercpu_time_millis_training: 34.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.0013, kappa: -0.0032, kb_relative_information_score: 7.5329, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.0007, predictive_accuracy: 0.0069, prior_entropy: 6.6438, recall: 0.0069, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1409, root_relative_squared_error: 1.4164, usercpu_time_millis: 2.325, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 2.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7502, f_measure: 0.4892, kappa: 0.5003, kb_relative_information_score: 806.2266, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.4975, predictive_accuracy: 0.5053, prior_entropy: 6.6438, recall: 0.5053, relative_absolute_error: 0.4997, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997, usercpu_time_millis: 178.587, usercpu_time_millis_testing: 0.692, usercpu_time_millis_training: 177.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.8598, kappa: 0.8623, kb_relative_information_score: 1380.5372, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8671, predictive_accuracy: 0.8637, prior_entropy: 6.6438, recall: 0.8637, relative_absolute_error: 0.1377, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0522, root_relative_squared_error: 0.5248, usercpu_time_millis: 25.283, usercpu_time_millis_testing: 0.574, usercpu_time_millis_training: 24.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6832, f_measure: 0.3429, kappa: 0.3664, kb_relative_information_score: 593.803, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.3406, predictive_accuracy: 0.3727, prior_entropy: 6.6438, recall: 0.3727, relative_absolute_error: 0.6336, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.112, root_relative_squared_error: 1.1257, usercpu_time_millis: 155.397, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 155.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.741, f_measure: 0.4439, kappa: 0.482, kb_relative_information_score: 777.1278, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.4482, predictive_accuracy: 0.4872, prior_entropy: 6.6438, recall: 0.4872, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1013, root_relative_squared_error: 1.0178, usercpu_time_millis: 288.117, usercpu_time_millis_testing: 5.645, usercpu_time_millis_training: 282.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7562, f_measure: 0.5148, kappa: 0.5123, kb_relative_information_score: 825.3048, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.5244, predictive_accuracy: 0.5172, prior_entropy: 6.6438, recall: 0.5172, relative_absolute_error: 0.4877, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0983, root_relative_squared_error: 0.9876, usercpu_time_millis: 5.899, usercpu_time_millis_testing: 1.438, usercpu_time_millis_training: 4.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.7974, kappa: 0.7972, kb_relative_information_score: 1277.325, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8067, predictive_accuracy: 0.7993, prior_entropy: 6.6438, recall: 0.7993, relative_absolute_error: 0.2028, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0634, root_relative_squared_error: 0.6368, usercpu_time_millis: 7.372, usercpu_time_millis_testing: 1.838, usercpu_time_millis_training: 5.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7078, f_measure: 0.3775, kappa: 0.4157, kb_relative_information_score: 671.8985, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.3953, predictive_accuracy: 0.4215, prior_entropy: 6.6438, recall: 0.4215, relative_absolute_error: 0.5843, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1076, root_relative_squared_error: 1.081, usercpu_time_millis: 552.371, usercpu_time_millis_testing: 15.868, usercpu_time_millis_training: 536.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.8108, kappa: 0.8111, kb_relative_information_score: 1299.3573, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8196, predictive_accuracy: 0.813, prior_entropy: 6.6438, recall: 0.813, relative_absolute_error: 0.1889, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0612, root_relative_squared_error: 0.6146, usercpu_time_millis: 1.294, usercpu_time_millis_testing: 1.256, usercpu_time_millis_training: 0.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7344, f_measure: 0.488, kappa: 0.4687, kb_relative_information_score: 756.1497, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.5346, predictive_accuracy: 0.474, prior_entropy: 6.6438, recall: 0.474, relative_absolute_error: 0.5313, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1026, root_relative_squared_error: 1.0308, usercpu_time_millis: 35.293, usercpu_time_millis_testing: 1.276, usercpu_time_millis_training: 34.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.7715, kappa: 0.7694, kb_relative_information_score: 1233.1953, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7878, predictive_accuracy: 0.7717, prior_entropy: 6.6438, recall: 0.7717, relative_absolute_error: 0.2306, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0676, root_relative_squared_error: 0.6791, usercpu_time_millis: 1.839, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 1.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5897, f_measure: 0.1024, kappa: 0.1794, kb_relative_information_score: 297.1281, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.0817, predictive_accuracy: 0.1876, prior_entropy: 6.6438, recall: 0.1876, relative_absolute_error: 0.8206, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1275, root_relative_squared_error: 1.2811, usercpu_time_millis: 5.48, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 5.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6589, f_measure: 0.2669, kappa: 0.3178, kb_relative_information_score: 516.5792, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.4207, predictive_accuracy: 0.3246, prior_entropy: 6.6438, recall: 0.3246, relative_absolute_error: 0.6822, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1162, root_relative_squared_error: 1.1681, usercpu_time_millis: 4.353, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 4.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, f_measure: 0.7383, kappa: 0.7296, kb_relative_information_score: 1170.0525, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7577, predictive_accuracy: 0.7323, prior_entropy: 6.6438, recall: 0.7323, relative_absolute_error: 0.2704, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.7354, usercpu_time_millis: 13.024, usercpu_time_millis_testing: 10.059, usercpu_time_millis_training: 2.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6323, f_measure: 0.2588, kappa: 0.2647, kb_relative_information_score: 432.4453, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.2596, predictive_accuracy: 0.272, prior_entropy: 6.6438, recall: 0.272, relative_absolute_error: 0.7353, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1207, root_relative_squared_error: 1.2127, usercpu_time_millis: 35.068, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 34.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.8162, kappa: 0.8181, kb_relative_information_score: 1310.3669, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.831, predictive_accuracy: 0.8199, prior_entropy: 6.6438, recall: 0.8199, relative_absolute_error: 0.1819, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.06, root_relative_squared_error: 0.6032, usercpu_time_millis: 320.42, usercpu_time_millis_testing: 45.205, usercpu_time_millis_training: 275.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, f_measure: 0.0008, kappa: -0.0051, kb_relative_information_score: 4.5267, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.0004, predictive_accuracy: 0.005, prior_entropy: 6.6438, recall: 0.005, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1411, root_relative_squared_error: 1.4178, usercpu_time_millis: 239.946, usercpu_time_millis_testing: 14.674, usercpu_time_millis_training: 225.272,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.8035, kappa: 0.8086, kb_relative_information_score: 1170.8131, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8136, predictive_accuracy: 0.8105, prior_entropy: 6.6438, recall: 0.8105, relative_absolute_error: 0.6319, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.6999, scimark_benchmark: 1079.477, usercpu_time_millis: 4180, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 3930,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7724, f_measure: 0.5152, kappa: 0.513, kb_relative_information_score: 851.9975, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.5232, predictive_accuracy: 0.5178, prior_entropy: 6.6438, recall: 0.5178, relative_absolute_error: 0.5041, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0935, root_relative_squared_error: 0.9396, scimark_benchmark: 901.458, usercpu_time_millis: 500, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, f_measure: 0.7974, kappa: 0.7972, kb_relative_information_score: 1258.9198, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8067, predictive_accuracy: 0.7993, prior_entropy: 6.6438, recall: 0.7993, relative_absolute_error: 0.2546, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.6192, scimark_benchmark: 930.1844, usercpu_time_millis: 870, usercpu_time_millis_testing: 800, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.7503, kappa: 0.7397, kb_relative_information_score: 1201.9539, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7732, predictive_accuracy: 0.7423, prior_entropy: 6.6438, recall: 0.7423, relative_absolute_error: 0.2602, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0705, root_relative_squared_error: 0.7089, scimark_benchmark: 901.458, usercpu_time_millis: 2640, usercpu_time_millis_testing: 2600, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.8321, kappa: 0.8313, kb_relative_information_score: 1389.4713, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8388, predictive_accuracy: 0.833, prior_entropy: 6.6438, recall: 0.833, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0504, root_relative_squared_error: 0.5063, scimark_benchmark: 1395.4571, usercpu_time_millis: 536980, usercpu_time_millis_testing: 1550, usercpu_time_millis_training: 535430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.7503, kappa: 0.7397, kb_relative_information_score: 1201.9539, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7732, predictive_accuracy: 0.7423, prior_entropy: 6.6438, recall: 0.7423, relative_absolute_error: 0.2602, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0705, root_relative_squared_error: 0.7089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6283, f_measure: 0.0014, kappa: 0.0019, kb_relative_information_score: 174.0878, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.0008, predictive_accuracy: 0.0119, prior_entropy: 6.6438, recall: 0.0119, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.9969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5145, f_measure: 0.0286, kappa: 0.0291, kb_relative_information_score: 58.6379, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.03, predictive_accuracy: 0.0388, prior_entropy: 6.6438, recall: 0.0388, relative_absolute_error: 0.9709, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1387, root_relative_squared_error: 1.3935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.7776, kappa: 0.7776, kb_relative_information_score: 1265.3025, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7884, predictive_accuracy: 0.7799, prior_entropy: 6.6438, recall: 0.7799, relative_absolute_error: 0.2246, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0648, root_relative_squared_error: 0.6518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.7503, kappa: 0.7397, kb_relative_information_score: 1201.9539, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7732, predictive_accuracy: 0.7423, prior_entropy: 6.6438, recall: 0.7423, relative_absolute_error: 0.2602, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0705, root_relative_squared_error: 0.7089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6283, f_measure: 0.0014, kappa: 0.0019, kb_relative_information_score: 174.0878, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.0008, predictive_accuracy: 0.0119, prior_entropy: 6.6438, recall: 0.0119, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.9969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5145, f_measure: 0.0286, kappa: 0.0291, kb_relative_information_score: 58.6379, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.03, predictive_accuracy: 0.0388, prior_entropy: 6.6438, recall: 0.0388, relative_absolute_error: 0.9709, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1387, root_relative_squared_error: 1.3935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.7776, kappa: 0.7776, kb_relative_information_score: 1265.3025, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7884, predictive_accuracy: 0.7799, prior_entropy: 6.6438, recall: 0.7799, relative_absolute_error: 0.2246, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0648, root_relative_squared_error: 0.6518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.4003, kappa: 0.4106, kb_relative_information_score: 835.7999, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.4035, predictive_accuracy: 0.4165, prior_entropy: 6.6438, recall: 0.4165, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.424, f_measure: 0.0004, kappa: -0.0038, kb_relative_information_score: 3.2528, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.0002, predictive_accuracy: 0.0063, prior_entropy: 6.6438, recall: 0.0063, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7233, f_measure: 0.4511, kappa: 0.4466, kb_relative_information_score: 721.1167, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.462, predictive_accuracy: 0.4522, prior_entropy: 6.6438, recall: 0.4522, relative_absolute_error: 0.5534, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1047, root_relative_squared_error: 1.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.794, kappa: 0.7941, kb_relative_information_score: 1343.0148, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7994, predictive_accuracy: 0.7961, prior_entropy: 6.6438, recall: 0.7961, relative_absolute_error: 0.2583, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0565, root_relative_squared_error: 0.5677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.7503, kappa: 0.7397, kb_relative_information_score: 1201.9539, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7732, predictive_accuracy: 0.7423, prior_entropy: 6.6438, recall: 0.7423, relative_absolute_error: 0.2602, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0705, root_relative_squared_error: 0.7089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7679, f_measure: 0.5207, kappa: 0.5174, kb_relative_information_score: 842.6653, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.532, predictive_accuracy: 0.5222, prior_entropy: 6.6438, recall: 0.5222, relative_absolute_error: 0.502, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0942, root_relative_squared_error: 0.9466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.424, f_measure: 0.0004, kappa: -0.0038, kb_relative_information_score: 3.2528, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.0002, predictive_accuracy: 0.0063, prior_entropy: 6.6438, recall: 0.0063, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.6814, kappa: 0.674, kb_relative_information_score: 1142.5921, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.6978, predictive_accuracy: 0.6773, prior_entropy: 6.6438, recall: 0.6773, relative_absolute_error: 0.3957, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0677, root_relative_squared_error: 0.6802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.7546, kappa: 0.7574, kb_relative_information_score: 1304.8598, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7662, predictive_accuracy: 0.7599, prior_entropy: 6.6438, recall: 0.7599, relative_absolute_error: 0.2534, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.062, root_relative_squared_error: 0.6229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.6915, kappa: 0.7012, kb_relative_information_score: 1209.1042, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7027, predictive_accuracy: 0.7042, prior_entropy: 6.6438, recall: 0.7042, relative_absolute_error: 0.3057, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0699, root_relative_squared_error: 0.7022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6733, f_measure: 0.1251, kappa: 0.1061, kb_relative_information_score: 79.5756, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.2115, predictive_accuracy: 0.1151, prior_entropy: 6.6438, recall: 0.1151, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.9986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.7974, kappa: 0.7972, kb_relative_information_score: 1277.325, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8067, predictive_accuracy: 0.7993, prior_entropy: 6.6438, recall: 0.7993, relative_absolute_error: 0.2028, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0634, root_relative_squared_error: 0.6368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5786, f_measure: 0.1728, kappa: 0.1573, kb_relative_information_score: 262.056, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.251, predictive_accuracy: 0.1657, prior_entropy: 6.6438, recall: 0.1657, relative_absolute_error: 0.8427, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1292, root_relative_squared_error: 1.2982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.6758, kappa: 0.6305, kb_relative_information_score: 150.9367, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8109, predictive_accuracy: 0.6341, prior_entropy: 6.6438, recall: 0.6341, relative_absolute_error: 0.9944, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.099, root_relative_squared_error: 0.9947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0002, kb_relative_information_score: 11.7366, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.0001, predictive_accuracy: 0.0094, prior_entropy: 6.6438, recall: 0.0094, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1408, root_relative_squared_error: 1.4147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.59, kappa: 0.5919, kb_relative_information_score: 1052.1112, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.5974, predictive_accuracy: 0.596, prior_entropy: 6.6438, recall: 0.596, relative_absolute_error: 0.4556, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0792, root_relative_squared_error: 0.7964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.6598, kappa: 0.6721, kb_relative_information_score: 1218.2393, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.6687, predictive_accuracy: 0.6754, prior_entropy: 6.6438, recall: 0.6754, relative_absolute_error: 0.3778, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0688, root_relative_squared_error: 0.691,

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

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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