Task
Supervised Classification on one-hundred-plants-texture

Supervised Classification on one-hundred-plants-texture

Task 9956 Supervised Classification one-hundred-plants-texture 13071 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.788, kappa: 0.7884, kb_relative_information_score: 1263.2701, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7963, predictive_accuracy: 0.7905, prior_entropy: 6.6438, recall: 0.7905, relative_absolute_error: 0.2116, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0647, root_relative_squared_error: 0.6506, usercpu_time_millis: 298.312, usercpu_time_millis_testing: 3.347, usercpu_time_millis_training: 294.965,
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, usercpu_time_millis: 2.844, usercpu_time_millis_testing: 1.094, usercpu_time_millis_training: 1.75,
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: 2.591, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 2.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7587, f_measure: 0.5207, kappa: 0.5174, kb_relative_information_score: 833.3083, mean_absolute_error: 0.0096, 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: 0.4826, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.9825, usercpu_time_millis: 28.516, usercpu_time_millis_testing: 1.312, usercpu_time_millis_training: 27.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8439, kappa: 0.8471, kb_relative_information_score: 1356.4617, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8509, predictive_accuracy: 0.8487, prior_entropy: 6.6438, recall: 0.8487, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.055, root_relative_squared_error: 0.5529, usercpu_time_millis: 67.393, usercpu_time_millis_testing: 0.51, usercpu_time_millis_training: 66.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, f_measure: 0.0076, kappa: 0.0025, kb_relative_information_score: 16.5514, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.0114, predictive_accuracy: 0.0125, prior_entropy: 6.6438, recall: 0.0125, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1405, root_relative_squared_error: 1.4124, usercpu_time_millis: 3.046, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 2.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.0011, kappa: -0.0038, kb_relative_information_score: 6.5308, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.0006, predictive_accuracy: 0.0063, prior_entropy: 6.6438, recall: 0.0063, relative_absolute_error: 1.0038, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.141, root_relative_squared_error: 1.4169, usercpu_time_millis: 2.386, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 2.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8485, kappa: 0.8522, kb_relative_information_score: 1364.4782, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8568, predictive_accuracy: 0.8537, prior_entropy: 6.6438, recall: 0.8537, relative_absolute_error: 0.1478, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0541, root_relative_squared_error: 0.5437, usercpu_time_millis: 157.087, usercpu_time_millis_testing: 1.144, usercpu_time_millis_training: 155.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.7704, kappa: 0.7682, kb_relative_information_score: 1231.1912, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7861, predictive_accuracy: 0.7705, prior_entropy: 6.6438, recall: 0.7705, relative_absolute_error: 0.2318, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.6809, usercpu_time_millis: 2.358, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 2.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.8464, kappa: 0.8503, kb_relative_information_score: 1361.485, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8549, predictive_accuracy: 0.8518, prior_entropy: 6.6438, recall: 0.8518, relative_absolute_error: 0.1497, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0544, root_relative_squared_error: 0.5472, usercpu_time_millis: 413.315, usercpu_time_millis_testing: 25.212, usercpu_time_millis_training: 388.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.8354, kappa: 0.8364, kb_relative_information_score: 1339.4267, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8434, predictive_accuracy: 0.838, prior_entropy: 6.6438, recall: 0.838, relative_absolute_error: 0.1636, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0569, root_relative_squared_error: 0.572, usercpu_time_millis: 31.81, usercpu_time_millis_testing: 1.232, usercpu_time_millis_training: 30.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6147, f_measure: 0.1941, kappa: 0.2293, kb_relative_information_score: 376.3039, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.2104, predictive_accuracy: 0.237, prior_entropy: 6.6438, recall: 0.237, relative_absolute_error: 0.7707, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1235, root_relative_squared_error: 1.2415, usercpu_time_millis: 45.456, usercpu_time_millis_testing: 0.209, usercpu_time_millis_training: 45.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6406, f_measure: 0.2443, kappa: 0.2811, kb_relative_information_score: 458.4597, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.2421, predictive_accuracy: 0.2883, prior_entropy: 6.6438, recall: 0.2883, relative_absolute_error: 0.7189, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1193, root_relative_squared_error: 1.1991, usercpu_time_millis: 37.606, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 37.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.8384, kappa: 0.8395, kb_relative_information_score: 1344.45, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8476, predictive_accuracy: 0.8412, prior_entropy: 6.6438, recall: 0.8412, relative_absolute_error: 0.1605, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0564, root_relative_squared_error: 0.5665, usercpu_time_millis: 6274.754, usercpu_time_millis_testing: 10.043, usercpu_time_millis_training: 6264.711,
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, scimark_benchmark: 1245.1203, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.8099, kappa: 0.8174, kb_relative_information_score: 1183.4256, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8253, predictive_accuracy: 0.8193, prior_entropy: 6.6438, recall: 0.8193, relative_absolute_error: 0.6266, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.6898, scimark_benchmark: 1147.1691, usercpu_time_millis: 4010, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 3660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.494, kappa: 0.4788, kb_relative_information_score: 829.5252, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.5358, predictive_accuracy: 0.4841, prior_entropy: 6.6438, recall: 0.4841, relative_absolute_error: 0.5636, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.9007, scimark_benchmark: 1206.4667, usercpu_time_millis: 4850, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4830,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.functions.SGD: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.7956, kappa: 0.7997, kb_relative_information_score: 237.4985, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8056, predictive_accuracy: 0.8018, prior_entropy: 6.6438, recall: 0.8018, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0987, root_relative_squared_error: 0.9917, scimark_benchmark: 971.0471, usercpu_time_millis: 12260, usercpu_time_millis_testing: 2210, usercpu_time_millis_training: 10050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.7729, kappa: 0.7745, kb_relative_information_score: 1348.1564, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7945, predictive_accuracy: 0.7767, prior_entropy: 6.6438, recall: 0.7767, relative_absolute_error: 0.3377, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0569, root_relative_squared_error: 0.5721, scimark_benchmark: 1098.1925, usercpu_time_millis: 1910, usercpu_time_millis_testing: 1910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.7366, kappa: 0.7423, kb_relative_information_score: 1295.4272, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7618, predictive_accuracy: 0.7448, prior_entropy: 6.6438, recall: 0.7448, relative_absolute_error: 0.4582, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0628, root_relative_squared_error: 0.6307, scimark_benchmark: 1385.3859, usercpu_time_millis: 1300, usercpu_time_millis_testing: 1300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.7532, kappa: 0.7536, kb_relative_information_score: 1190.7445, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7646, predictive_accuracy: 0.7561, prior_entropy: 6.6438, recall: 0.7561, relative_absolute_error: 0.2953, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.6819, scimark_benchmark: 1306.5974, usercpu_time_millis: 660, usercpu_time_millis_testing: 560, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, f_measure: 0.7461, kappa: 0.7391, kb_relative_information_score: 1207.2489, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7623, predictive_accuracy: 0.7417, prior_entropy: 6.6438, recall: 0.7417, relative_absolute_error: 0.2638, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.07, root_relative_squared_error: 0.7038, scimark_benchmark: 670.4203, usercpu_time_millis: 3610, usercpu_time_millis_testing: 3410, usercpu_time_millis_training: 200,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.7691, kappa: 0.7688, kb_relative_information_score: 1279.2261, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7787, predictive_accuracy: 0.7711, prior_entropy: 6.6438, recall: 0.7711, relative_absolute_error: 0.2324, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0639, root_relative_squared_error: 0.642, scimark_benchmark: 1166.9296, usercpu_time_millis: 6820, usercpu_time_millis_testing: 2900, usercpu_time_millis_training: 3920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.379, kappa: 0.3917, kb_relative_information_score: 795.5833, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.3859, predictive_accuracy: 0.3977, prior_entropy: 6.6438, recall: 0.3977, relative_absolute_error: 0.7008, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.9213, scimark_benchmark: 907.5943, usercpu_time_millis: 290, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.functions.SGD: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.7327, kappa: 0.7372, kb_relative_information_score: 1306.3656, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7498, predictive_accuracy: 0.7398, prior_entropy: 6.6438, recall: 0.7398, relative_absolute_error: 0.3855, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0617, root_relative_squared_error: 0.6198, scimark_benchmark: 919.527, usercpu_time_millis: 1390, usercpu_time_millis_testing: 1220, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.7063, kappa: 0.7126, kb_relative_information_score: 1264.461, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.731, predictive_accuracy: 0.7154, prior_entropy: 6.6438, recall: 0.7154, relative_absolute_error: 0.4959, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0663, root_relative_squared_error: 0.666, scimark_benchmark: 1117.9714, usercpu_time_millis: 1340, usercpu_time_millis_testing: 1160, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.7546, kappa: 0.7524, kb_relative_information_score: 1323.5785, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7811, predictive_accuracy: 0.7548, prior_entropy: 6.6438, recall: 0.7548, relative_absolute_error: 0.2702, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0575, root_relative_squared_error: 0.578, scimark_benchmark: 1168.9074, usercpu_time_millis: 1360, usercpu_time_millis_testing: 1360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, f_measure: 0.714, kappa: 0.7164, kb_relative_information_score: 1281.0219, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7448, predictive_accuracy: 0.7192, prior_entropy: 6.6438, recall: 0.7192, relative_absolute_error: 0.3086, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0621, root_relative_squared_error: 0.6239, scimark_benchmark: 1042.2383, usercpu_time_millis: 1080, usercpu_time_millis_testing: 820, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4243, f_measure: 0.0005, kappa: -0.0038, kb_relative_information_score: 3.4902, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.0003, 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: 565.8894, usercpu_time_millis: 27430, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 27380,
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: 816.9524, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.6786, kappa: 0.6696, kb_relative_information_score: 1099.5458, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7005, predictive_accuracy: 0.6729, prior_entropy: 6.6438, recall: 0.6729, relative_absolute_error: 0.3302, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0793, root_relative_squared_error: 0.797, scimark_benchmark: 1042.8065, usercpu_time_millis: 538490, usercpu_time_millis_testing: 1450, usercpu_time_millis_training: 537040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4242, f_measure: 0.0005, kappa: -0.0038, kb_relative_information_score: 3.4902, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.0003, 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: 902.2403, usercpu_time_millis: 27430, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 27340,
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

Using your favorite machine learning environment

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

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

OpenML APIs