Task
Supervised Classification on fri_c2_250_25

Supervised Classification on fri_c2_250_25

Task 4364 Supervised Classification fri_c2_250_25 236 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8618, f_measure: 0.798, kappa: 0.5898, kb_relative_information_score: 1319.9293, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.7985, predictive_accuracy: 0.7988, prior_entropy: 0.9911, recall: 0.7988, relative_absolute_error: 0.4865, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.761, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.8403, kappa: 0.6764, kb_relative_information_score: 1330.5483, mean_absolute_error: 0.2457, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8403, predictive_accuracy: 0.8404, prior_entropy: 0.9911, recall: 0.8404, relative_absolute_error: 0.4976, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3358, root_relative_squared_error: 0.6759, scimark_benchmark: 972.587, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8492, kappa: 0.6945, kb_relative_information_score: 1529.5261, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8492, predictive_accuracy: 0.8492, prior_entropy: 0.9911, recall: 0.8492, relative_absolute_error: 0.4063, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.6731, scimark_benchmark: 934.3687, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7209, f_measure: 0.7247, kappa: 0.4421, kb_relative_information_score: 1098.8079, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.7246, predictive_accuracy: 0.7248, prior_entropy: 0.9911, recall: 0.7248, relative_absolute_error: 0.5573, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5246, root_relative_squared_error: 1.0558, scimark_benchmark: 944.1067, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7209, f_measure: 0.7247, kappa: 0.4421, kb_relative_information_score: 1098.8079, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.7246, predictive_accuracy: 0.7248, prior_entropy: 0.9911, recall: 0.7248, relative_absolute_error: 0.5573, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5246, root_relative_squared_error: 1.0558, scimark_benchmark: 916.0735, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8148, kappa: 0.6244, kb_relative_information_score: 1449.6678, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8149, predictive_accuracy: 0.8152, prior_entropy: 0.9911, recall: 0.8152, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7354, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.8315, kappa: 0.6578, kb_relative_information_score: 1284.7542, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8327, predictive_accuracy: 0.8324, prior_entropy: 0.9911, recall: 0.8324, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3474, root_relative_squared_error: 0.6992, scimark_benchmark: 938.191, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7555, f_measure: 0.6963, kappa: 0.384, kb_relative_information_score: 701.0216, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.696, predictive_accuracy: 0.6968, prior_entropy: 0.9911, recall: 0.6968, relative_absolute_error: 0.7372, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9141, scimark_benchmark: 932.2692, usercpu_time_millis: 650, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.8057, kappa: 0.6068, kb_relative_information_score: 1360.1531, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8059, predictive_accuracy: 0.8056, prior_entropy: 0.9911, recall: 0.8056, relative_absolute_error: 0.4707, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.7978, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7209, f_measure: 0.7247, kappa: 0.4421, kb_relative_information_score: 1098.8079, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.7246, predictive_accuracy: 0.7248, prior_entropy: 0.9911, recall: 0.7248, relative_absolute_error: 0.5573, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5246, root_relative_squared_error: 1.0558, scimark_benchmark: 941.3847, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7209, f_measure: 0.7247, kappa: 0.4421, kb_relative_information_score: 1098.8079, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.7246, predictive_accuracy: 0.7248, prior_entropy: 0.9911, recall: 0.7248, relative_absolute_error: 0.5573, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5246, root_relative_squared_error: 1.0558, scimark_benchmark: 941.3847, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.8116, kappa: 0.6178, kb_relative_information_score: 1449.3383, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8116, predictive_accuracy: 0.812, prior_entropy: 0.9911, recall: 0.812, relative_absolute_error: 0.4292, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.7453, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, f_measure: 0.8433, kappa: 0.6822, kb_relative_information_score: 1053.7773, mean_absolute_error: 0.3097, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8434, predictive_accuracy: 0.8436, prior_entropy: 0.9911, recall: 0.8436, relative_absolute_error: 0.6272, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7137, scimark_benchmark: 943.1009, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8618, f_measure: 0.798, kappa: 0.5898, kb_relative_information_score: 1319.9293, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.7985, predictive_accuracy: 0.7988, prior_entropy: 0.9911, recall: 0.7988, relative_absolute_error: 0.4865, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.761, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.8403, kappa: 0.6764, kb_relative_information_score: 1330.5483, mean_absolute_error: 0.2457, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8403, predictive_accuracy: 0.8404, prior_entropy: 0.9911, recall: 0.8404, relative_absolute_error: 0.4976, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3358, root_relative_squared_error: 0.6759, scimark_benchmark: 908.9569, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8492, kappa: 0.6945, kb_relative_information_score: 1529.5261, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8492, predictive_accuracy: 0.8492, prior_entropy: 0.9911, recall: 0.8492, relative_absolute_error: 0.4063, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.6731, scimark_benchmark: 936.2574, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7209, f_measure: 0.7247, kappa: 0.4421, kb_relative_information_score: 1098.8079, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.7246, predictive_accuracy: 0.7248, prior_entropy: 0.9911, recall: 0.7248, relative_absolute_error: 0.5573, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5246, root_relative_squared_error: 1.0558, scimark_benchmark: 927.2882, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7209, f_measure: 0.7247, kappa: 0.4421, kb_relative_information_score: 1098.8079, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.7246, predictive_accuracy: 0.7248, prior_entropy: 0.9911, recall: 0.7248, relative_absolute_error: 0.5573, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5246, root_relative_squared_error: 1.0558, scimark_benchmark: 943.6618, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8148, kappa: 0.6244, kb_relative_information_score: 1449.6678, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8149, predictive_accuracy: 0.8152, prior_entropy: 0.9911, recall: 0.8152, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7354, scimark_benchmark: 933.3455, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.8315, kappa: 0.6578, kb_relative_information_score: 1284.7542, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8327, predictive_accuracy: 0.8324, prior_entropy: 0.9911, recall: 0.8324, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3474, root_relative_squared_error: 0.6992, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7555, f_measure: 0.6963, kappa: 0.384, kb_relative_information_score: 701.0216, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.696, predictive_accuracy: 0.6968, prior_entropy: 0.9911, recall: 0.6968, relative_absolute_error: 0.7372, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9141, scimark_benchmark: 934.5964, usercpu_time_millis: 410, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8148, kappa: 0.6244, kb_relative_information_score: 1449.6678, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8149, predictive_accuracy: 0.8152, prior_entropy: 0.9911, recall: 0.8152, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7354, scimark_benchmark: 936.9595, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.8057, kappa: 0.6068, kb_relative_information_score: 1360.1531, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8059, predictive_accuracy: 0.8056, prior_entropy: 0.9911, recall: 0.8056, relative_absolute_error: 0.4707, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.7978, scimark_benchmark: 730.6551, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, f_measure: 0.8433, kappa: 0.6822, kb_relative_information_score: 1053.7773, mean_absolute_error: 0.3097, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8434, predictive_accuracy: 0.8436, prior_entropy: 0.9911, recall: 0.8436, relative_absolute_error: 0.6272, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7137, scimark_benchmark: 901.4991, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.8402, kappa: 0.6761, kb_relative_information_score: 901.5206, mean_absolute_error: 0.3398, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8402, predictive_accuracy: 0.8404, prior_entropy: 0.9911, recall: 0.8404, relative_absolute_error: 0.6881, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7575, scimark_benchmark: 943.6618, usercpu_time_millis: 3740, usercpu_time_millis_testing: 1520, usercpu_time_millis_training: 2220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.8421, kappa: 0.6799, kb_relative_information_score: 913.8139, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8422, predictive_accuracy: 0.8424, prior_entropy: 0.9911, recall: 0.8424, relative_absolute_error: 0.683, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.7558, scimark_benchmark: 937.5683, usercpu_time_millis: 1540, usercpu_time_millis_testing: 530, usercpu_time_millis_training: 1010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8285, kappa: 0.6522, kb_relative_information_score: 918.4012, mean_absolute_error: 0.3354, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8285, predictive_accuracy: 0.8288, prior_entropy: 0.9911, recall: 0.8288, relative_absolute_error: 0.6792, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3761, root_relative_squared_error: 0.7569, scimark_benchmark: 862.7006, usercpu_time_millis: 670, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.821, kappa: 0.6367, kb_relative_information_score: 915.8674, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8214, predictive_accuracy: 0.8216, prior_entropy: 0.9911, recall: 0.8216, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.7644, scimark_benchmark: 891.6381, usercpu_time_millis: 350, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.7887, kappa: 0.5713, kb_relative_information_score: 891.1213, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.7887, predictive_accuracy: 0.7892, prior_entropy: 0.9911, recall: 0.7892, relative_absolute_error: 0.6808, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.786, scimark_benchmark: 930.0025, usercpu_time_millis: 170, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.8081, kappa: 0.6103, kb_relative_information_score: 1283.0172, mean_absolute_error: 0.2508, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8085, predictive_accuracy: 0.8088, prior_entropy: 0.9911, recall: 0.8088, relative_absolute_error: 0.5079, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7631, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.8081, kappa: 0.6103, kb_relative_information_score: 1283.0172, mean_absolute_error: 0.2508, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8085, predictive_accuracy: 0.8088, prior_entropy: 0.9911, recall: 0.8088, relative_absolute_error: 0.5079, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7631, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.8068, kappa: 0.6078, kb_relative_information_score: 1281.1251, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8074, predictive_accuracy: 0.8076, prior_entropy: 0.9911, recall: 0.8076, relative_absolute_error: 0.5085, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.7623, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.8061, kappa: 0.6063, kb_relative_information_score: 1277.0939, mean_absolute_error: 0.2524, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8065, predictive_accuracy: 0.8068, prior_entropy: 0.9911, recall: 0.8068, relative_absolute_error: 0.5111, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7608, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.8068, kappa: 0.6077, kb_relative_information_score: 1247.7286, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8074, predictive_accuracy: 0.8076, prior_entropy: 0.9911, recall: 0.8076, relative_absolute_error: 0.5254, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3774, root_relative_squared_error: 0.7596, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, f_measure: 0.3973, kb_relative_information_score: -0.3305, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.3091, predictive_accuracy: 0.556, prior_entropy: 0.9911, recall: 0.556, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.8536, kappa: 0.7034, kb_relative_information_score: 1738.5794, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8536, predictive_accuracy: 0.8536, prior_entropy: 0.9911, recall: 0.8536, relative_absolute_error: 0.3046, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.7327, scimark_benchmark: 936.1714, usercpu_time_millis: 380, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9193, f_measure: 0.8417, kappa: 0.6788, kb_relative_information_score: 1676.4554, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8418, predictive_accuracy: 0.842, prior_entropy: 0.9911, recall: 0.842, relative_absolute_error: 0.3296, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3723, root_relative_squared_error: 0.7493, scimark_benchmark: 936.1714, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.8243, kappa: 0.6435, kb_relative_information_score: 1580.5188, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8245, predictive_accuracy: 0.8248, prior_entropy: 0.9911, recall: 0.8248, relative_absolute_error: 0.3685, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3897, root_relative_squared_error: 0.7843, scimark_benchmark: 938.3115, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.8116, kappa: 0.6178, kb_relative_information_score: 1449.3383, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8116, predictive_accuracy: 0.812, prior_entropy: 0.9911, recall: 0.812, relative_absolute_error: 0.4292, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.7453, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8148, kappa: 0.6244, kb_relative_information_score: 1449.6678, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8149, predictive_accuracy: 0.8152, prior_entropy: 0.9911, recall: 0.8152, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7354, scimark_benchmark: 1324.7884, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8148, kappa: 0.6244, kb_relative_information_score: 1449.6678, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8149, predictive_accuracy: 0.8152, prior_entropy: 0.9911, recall: 0.8152, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7354, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8618, f_measure: 0.798, kappa: 0.5898, kb_relative_information_score: 1319.9293, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.7985, predictive_accuracy: 0.7988, prior_entropy: 0.9911, recall: 0.7988, relative_absolute_error: 0.4865, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.761, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7209, f_measure: 0.7247, kappa: 0.4421, kb_relative_information_score: 1098.8079, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.7246, predictive_accuracy: 0.7248, prior_entropy: 0.9911, recall: 0.7248, relative_absolute_error: 0.5573, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5246, root_relative_squared_error: 1.0558, scimark_benchmark: 1349.1517, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.8116, kappa: 0.6178, kb_relative_information_score: 1449.3383, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8116, predictive_accuracy: 0.812, prior_entropy: 0.9911, recall: 0.812, relative_absolute_error: 0.4292, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.7453, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8148, kappa: 0.6244, kb_relative_information_score: 1449.6678, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8149, predictive_accuracy: 0.8152, prior_entropy: 0.9911, recall: 0.8152, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7354, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8148, kappa: 0.6244, kb_relative_information_score: 1449.6678, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8149, predictive_accuracy: 0.8152, prior_entropy: 0.9911, recall: 0.8152, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7354, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, f_measure: 0.8433, kappa: 0.6822, kb_relative_information_score: 1053.7773, mean_absolute_error: 0.3097, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8434, predictive_accuracy: 0.8436, prior_entropy: 0.9911, recall: 0.8436, relative_absolute_error: 0.6272, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7137, scimark_benchmark: 1350.2591, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8618, f_measure: 0.798, kappa: 0.5898, kb_relative_information_score: 1319.9293, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.7985, predictive_accuracy: 0.7988, prior_entropy: 0.9911, recall: 0.7988, relative_absolute_error: 0.4865, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.761, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7209, f_measure: 0.7247, kappa: 0.4421, kb_relative_information_score: 1098.8079, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.7246, predictive_accuracy: 0.7248, prior_entropy: 0.9911, recall: 0.7248, relative_absolute_error: 0.5573, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5246, root_relative_squared_error: 1.0558, scimark_benchmark: 1351.1238, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.8116, kappa: 0.6178, kb_relative_information_score: 1449.3383, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8116, predictive_accuracy: 0.812, prior_entropy: 0.9911, recall: 0.812, relative_absolute_error: 0.4292, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.7453, scimark_benchmark: 1313.11, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8148, kappa: 0.6244, kb_relative_information_score: 1449.6678, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8149, predictive_accuracy: 0.8152, prior_entropy: 0.9911, recall: 0.8152, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7354, scimark_benchmark: 1337.9552, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8148, kappa: 0.6244, kb_relative_information_score: 1449.6678, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8149, predictive_accuracy: 0.8152, prior_entropy: 0.9911, recall: 0.8152, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7354, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.8315, kappa: 0.6578, kb_relative_information_score: 1284.7542, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8327, predictive_accuracy: 0.8324, prior_entropy: 0.9911, recall: 0.8324, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3474, root_relative_squared_error: 0.6992, scimark_benchmark: 1342.8584, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7555, f_measure: 0.6963, kappa: 0.384, kb_relative_information_score: 701.0216, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.696, predictive_accuracy: 0.6968, prior_entropy: 0.9911, recall: 0.6968, relative_absolute_error: 0.7372, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9141, scimark_benchmark: 1358.6198, usercpu_time_millis: 460, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8148, kappa: 0.6244, kb_relative_information_score: 1449.6678, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8149, predictive_accuracy: 0.8152, prior_entropy: 0.9911, recall: 0.8152, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7354, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.8057, kappa: 0.6068, kb_relative_information_score: 1360.1531, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8059, predictive_accuracy: 0.8056, prior_entropy: 0.9911, recall: 0.8056, relative_absolute_error: 0.4707, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.7978, scimark_benchmark: 1332.1612, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8492, kappa: 0.6945, kb_relative_information_score: 1529.5261, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8492, predictive_accuracy: 0.8492, prior_entropy: 0.9911, recall: 0.8492, relative_absolute_error: 0.4063, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.6731, scimark_benchmark: 1342.8584, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.8116, kappa: 0.6178, kb_relative_information_score: 1449.3383, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8116, predictive_accuracy: 0.812, prior_entropy: 0.9911, recall: 0.812, relative_absolute_error: 0.4292, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.7453, scimark_benchmark: 1337.1928, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8148, kappa: 0.6244, kb_relative_information_score: 1449.6678, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8149, predictive_accuracy: 0.8152, prior_entropy: 0.9911, recall: 0.8152, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7354, scimark_benchmark: 1346.4374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8148, kappa: 0.6244, kb_relative_information_score: 1449.6678, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8149, predictive_accuracy: 0.8152, prior_entropy: 0.9911, recall: 0.8152, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7354, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8148, kappa: 0.6244, kb_relative_information_score: 1449.6678, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8149, predictive_accuracy: 0.8152, prior_entropy: 0.9911, recall: 0.8152, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7354, scimark_benchmark: 1332.7986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.8315, kappa: 0.6578, kb_relative_information_score: 1284.7542, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8327, predictive_accuracy: 0.8324, prior_entropy: 0.9911, recall: 0.8324, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3474, root_relative_squared_error: 0.6992, scimark_benchmark: 1342.2845, usercpu_time_millis: 30, usercpu_time_millis_training: 30,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs