Task
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 267 Supervised Classification diabetes 373 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.7245, kappa: 0.4077, kb_relative_information_score: 79.2154, mean_absolute_error: 0.3193, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7261, predictive_accuracy: 0.7233, prior_entropy: 0.9335, recall: 0.7233, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.8952, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, f_measure: 0.7248, kappa: 0.3968, kb_relative_information_score: 62.8289, mean_absolute_error: 0.3512, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7246, predictive_accuracy: 0.7312, prior_entropy: 0.9335, recall: 0.7312, relative_absolute_error: 0.7652, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4142, root_relative_squared_error: 0.8606, scimark_benchmark: 972.587, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8098, f_measure: 0.7282, kappa: 0.4148, kb_relative_information_score: 82.2384, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7293, predictive_accuracy: 0.7273, prior_entropy: 0.9335, recall: 0.7273, relative_absolute_error: 0.6826, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8588, scimark_benchmark: 851.2074, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, kb_relative_information_score: 45.8317, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.405, predictive_accuracy: 0.6364, prior_entropy: 0.9335, recall: 0.6364, relative_absolute_error: 0.7924, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.603, root_relative_squared_error: 1.253, scimark_benchmark: 941.6675, usercpu_time_millis: 300, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.714, kappa: 0.3793, kb_relative_information_score: 83.9976, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7129, predictive_accuracy: 0.7154, prior_entropy: 0.9335, recall: 0.7154, relative_absolute_error: 0.6673, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8884, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.714, kappa: 0.3793, kb_relative_information_score: 83.9976, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7129, predictive_accuracy: 0.7154, prior_entropy: 0.9335, recall: 0.7154, relative_absolute_error: 0.6673, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8884, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.811, f_measure: 0.7444, kappa: 0.443, kb_relative_information_score: 79.5362, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7432, predictive_accuracy: 0.747, prior_entropy: 0.9335, recall: 0.747, relative_absolute_error: 0.6889, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8595, scimark_benchmark: 941.6675, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.714, kappa: 0.3793, kb_relative_information_score: 83.9976, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7129, predictive_accuracy: 0.7154, prior_entropy: 0.9335, recall: 0.7154, relative_absolute_error: 0.6673, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8884, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.7592, kappa: 0.4802, kb_relative_information_score: 82.5776, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7595, predictive_accuracy: 0.7589, prior_entropy: 0.9335, recall: 0.7589, relative_absolute_error: 0.6822, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.8548, scimark_benchmark: 931.771, usercpu_time_millis: 400, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, kb_relative_information_score: 45.8317, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.405, predictive_accuracy: 0.6364, prior_entropy: 0.9335, recall: 0.6364, relative_absolute_error: 0.7924, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.603, root_relative_squared_error: 1.253, scimark_benchmark: 937.5117, usercpu_time_millis: 310, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, f_measure: 0.719, kappa: 0.3922, kb_relative_information_score: 84.2643, mean_absolute_error: 0.3048, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7187, predictive_accuracy: 0.7194, prior_entropy: 0.9335, recall: 0.7194, relative_absolute_error: 0.6643, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.435, root_relative_squared_error: 0.9039, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.714, kappa: 0.3793, kb_relative_information_score: 83.9976, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7129, predictive_accuracy: 0.7154, prior_entropy: 0.9335, recall: 0.7154, relative_absolute_error: 0.6673, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8884, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.714, kappa: 0.3793, kb_relative_information_score: 83.9976, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7129, predictive_accuracy: 0.7154, prior_entropy: 0.9335, recall: 0.7154, relative_absolute_error: 0.6673, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8884, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.7507, kappa: 0.4607, kb_relative_information_score: 87.3794, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7504, predictive_accuracy: 0.751, prior_entropy: 0.9335, recall: 0.751, relative_absolute_error: 0.6661, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8635, scimark_benchmark: 943.1009, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.7592, kappa: 0.4802, kb_relative_information_score: 82.5776, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7595, predictive_accuracy: 0.7589, prior_entropy: 0.9335, recall: 0.7589, relative_absolute_error: 0.6822, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.8548, scimark_benchmark: 943.1009, usercpu_time_millis: 400, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.7245, kappa: 0.4077, kb_relative_information_score: 79.2154, mean_absolute_error: 0.3193, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7261, predictive_accuracy: 0.7233, prior_entropy: 0.9335, recall: 0.7233, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.8952, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, f_measure: 0.7248, kappa: 0.3968, kb_relative_information_score: 62.8289, mean_absolute_error: 0.3512, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7246, predictive_accuracy: 0.7312, prior_entropy: 0.9335, recall: 0.7312, relative_absolute_error: 0.7652, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4142, root_relative_squared_error: 0.8606, scimark_benchmark: 935.2002, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8098, f_measure: 0.7282, kappa: 0.4148, kb_relative_information_score: 82.2384, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7293, predictive_accuracy: 0.7273, prior_entropy: 0.9335, recall: 0.7273, relative_absolute_error: 0.6826, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8588, scimark_benchmark: 936.2574, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, kb_relative_information_score: 45.8317, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.405, predictive_accuracy: 0.6364, prior_entropy: 0.9335, recall: 0.6364, relative_absolute_error: 0.7924, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.603, root_relative_squared_error: 1.253, scimark_benchmark: 730.6551, usercpu_time_millis: 470, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.714, kappa: 0.3793, kb_relative_information_score: 83.9976, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7129, predictive_accuracy: 0.7154, prior_entropy: 0.9335, recall: 0.7154, relative_absolute_error: 0.6673, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8884, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.714, kappa: 0.3793, kb_relative_information_score: 83.9976, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7129, predictive_accuracy: 0.7154, prior_entropy: 0.9335, recall: 0.7154, relative_absolute_error: 0.6673, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8884, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.811, f_measure: 0.7444, kappa: 0.443, kb_relative_information_score: 79.5362, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7432, predictive_accuracy: 0.747, prior_entropy: 0.9335, recall: 0.747, relative_absolute_error: 0.6889, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8595, scimark_benchmark: 941.4991, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.7567, kappa: 0.4704, kb_relative_information_score: 89.5775, mean_absolute_error: 0.3032, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7557, predictive_accuracy: 0.7589, prior_entropy: 0.9335, recall: 0.7589, relative_absolute_error: 0.6607, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.8264, scimark_benchmark: 730.6551, usercpu_time_millis: 6260, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 6180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.714, kappa: 0.3793, kb_relative_information_score: 83.9976, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7129, predictive_accuracy: 0.7154, prior_entropy: 0.9335, recall: 0.7154, relative_absolute_error: 0.6673, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8884, scimark_benchmark: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.7592, kappa: 0.4802, kb_relative_information_score: 82.5776, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7595, predictive_accuracy: 0.7589, prior_entropy: 0.9335, recall: 0.7589, relative_absolute_error: 0.6822, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.8548, scimark_benchmark: 901.4991, usercpu_time_millis: 420, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.7588, kappa: 0.4728, kb_relative_information_score: 76.3552, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7585, predictive_accuracy: 0.7628, prior_entropy: 0.9335, recall: 0.7628, relative_absolute_error: 0.7233, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.8295, scimark_benchmark: 938.4601, usercpu_time_millis: 2990, usercpu_time_millis_testing: 830, usercpu_time_millis_training: 2160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.7625, kappa: 0.4804, kb_relative_information_score: 76.5383, mean_absolute_error: 0.3324, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7625, predictive_accuracy: 0.7668, prior_entropy: 0.9335, recall: 0.7668, relative_absolute_error: 0.7243, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.399, root_relative_squared_error: 0.8291, scimark_benchmark: 926.5462, usercpu_time_millis: 1330, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 1040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.7596, kappa: 0.4754, kb_relative_information_score: 75.7105, mean_absolute_error: 0.3324, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7589, predictive_accuracy: 0.7628, prior_entropy: 0.9335, recall: 0.7628, relative_absolute_error: 0.7243, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.8323, scimark_benchmark: 935.0213, usercpu_time_millis: 690, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.7517, kappa: 0.4549, kb_relative_information_score: 71.819, mean_absolute_error: 0.3404, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.754, predictive_accuracy: 0.7589, prior_entropy: 0.9335, recall: 0.7589, relative_absolute_error: 0.7418, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8453, scimark_benchmark: 911.2316, usercpu_time_millis: 450, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8144, f_measure: 0.7428, kappa: 0.4377, kb_relative_information_score: 68.1725, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.742, predictive_accuracy: 0.747, prior_entropy: 0.9335, recall: 0.747, relative_absolute_error: 0.7576, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8516, scimark_benchmark: 889.4922, usercpu_time_millis: 190, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, f_measure: 0.7168, kappa: 0.3836, kb_relative_information_score: 80.9641, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7154, predictive_accuracy: 0.7194, prior_entropy: 0.9335, recall: 0.7194, relative_absolute_error: 0.678, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.8985, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, f_measure: 0.7168, kappa: 0.3836, kb_relative_information_score: 80.9641, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7154, predictive_accuracy: 0.7194, prior_entropy: 0.9335, recall: 0.7194, relative_absolute_error: 0.678, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.8985, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, f_measure: 0.7168, kappa: 0.3836, kb_relative_information_score: 80.9641, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7154, predictive_accuracy: 0.7194, prior_entropy: 0.9335, recall: 0.7194, relative_absolute_error: 0.678, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.8985, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, f_measure: 0.7168, kappa: 0.3836, kb_relative_information_score: 80.9641, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7154, predictive_accuracy: 0.7194, prior_entropy: 0.9335, recall: 0.7194, relative_absolute_error: 0.678, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.8985, scimark_benchmark: 926.5859, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, f_measure: 0.7168, kappa: 0.3836, kb_relative_information_score: 80.9641, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7154, predictive_accuracy: 0.7194, prior_entropy: 0.9335, recall: 0.7194, relative_absolute_error: 0.678, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.8985, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, kb_relative_information_score: 1.1396, mean_absolute_error: 0.457, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.405, predictive_accuracy: 0.6364, prior_entropy: 0.9335, recall: 0.6364, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.0005, scimark_benchmark: 941.9549,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.7371, kappa: 0.4283, kb_relative_information_score: 103.2603, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.736, predictive_accuracy: 0.7391, prior_entropy: 0.9335, recall: 0.7391, relative_absolute_error: 0.5772, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4771, root_relative_squared_error: 0.9914, scimark_benchmark: 936.1714, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.714, kappa: 0.3793, kb_relative_information_score: 83.9976, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7129, predictive_accuracy: 0.7154, prior_entropy: 0.9335, recall: 0.7154, relative_absolute_error: 0.6673, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8884, scimark_benchmark: 1303.5632, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.811, f_measure: 0.7444, kappa: 0.443, kb_relative_information_score: 79.5362, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7432, predictive_accuracy: 0.747, prior_entropy: 0.9335, recall: 0.747, relative_absolute_error: 0.6889, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8595, scimark_benchmark: 1338.5214, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.714, kappa: 0.3793, kb_relative_information_score: 83.9976, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7129, predictive_accuracy: 0.7154, prior_entropy: 0.9335, recall: 0.7154, relative_absolute_error: 0.6673, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8884, scimark_benchmark: 1331.7953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.7592, kappa: 0.4802, kb_relative_information_score: 82.5776, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7595, predictive_accuracy: 0.7589, prior_entropy: 0.9335, recall: 0.7589, relative_absolute_error: 0.6822, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.8548, scimark_benchmark: 1296.8947, usercpu_time_millis: 230, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, kb_relative_information_score: 45.8317, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.405, predictive_accuracy: 0.6364, prior_entropy: 0.9335, recall: 0.6364, relative_absolute_error: 0.7924, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.603, root_relative_squared_error: 1.253, scimark_benchmark: 1342.8584, usercpu_time_millis: 370, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, kb_relative_information_score: 45.8317, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.405, predictive_accuracy: 0.6364, prior_entropy: 0.9335, recall: 0.6364, relative_absolute_error: 0.7924, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.603, root_relative_squared_error: 1.253, scimark_benchmark: 1340.9749, usercpu_time_millis: 380, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, f_measure: 0.719, kappa: 0.3922, kb_relative_information_score: 84.2643, mean_absolute_error: 0.3048, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7187, predictive_accuracy: 0.7194, prior_entropy: 0.9335, recall: 0.7194, relative_absolute_error: 0.6643, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.435, root_relative_squared_error: 0.9039, scimark_benchmark: 1333.202, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.714, kappa: 0.3793, kb_relative_information_score: 83.9976, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7129, predictive_accuracy: 0.7154, prior_entropy: 0.9335, recall: 0.7154, relative_absolute_error: 0.6673, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8884, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.7567, kappa: 0.4704, kb_relative_information_score: 89.5775, mean_absolute_error: 0.3032, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7557, predictive_accuracy: 0.7589, prior_entropy: 0.9335, recall: 0.7589, relative_absolute_error: 0.6607, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.8264, scimark_benchmark: 1325.8468, usercpu_time_millis: 4190, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 4120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.7507, kappa: 0.4607, kb_relative_information_score: 87.3794, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7504, predictive_accuracy: 0.751, prior_entropy: 0.9335, recall: 0.751, relative_absolute_error: 0.6661, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8635, scimark_benchmark: 1317.5857, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.7245, kappa: 0.4077, kb_relative_information_score: 79.2154, mean_absolute_error: 0.3193, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7261, predictive_accuracy: 0.7233, prior_entropy: 0.9335, recall: 0.7233, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.8952, scimark_benchmark: 1296.8947, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, f_measure: 0.719, kappa: 0.3922, kb_relative_information_score: 84.2643, mean_absolute_error: 0.3048, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7187, predictive_accuracy: 0.7194, prior_entropy: 0.9335, recall: 0.7194, relative_absolute_error: 0.6643, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.435, root_relative_squared_error: 0.9039, scimark_benchmark: 1349.1517, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.714, kappa: 0.3793, kb_relative_information_score: 83.9976, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7129, predictive_accuracy: 0.7154, prior_entropy: 0.9335, recall: 0.7154, relative_absolute_error: 0.6673, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8884, scimark_benchmark: 1350.2591, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.714, kappa: 0.3793, kb_relative_information_score: 83.9976, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7129, predictive_accuracy: 0.7154, prior_entropy: 0.9335, recall: 0.7154, relative_absolute_error: 0.6673, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8884, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.714, kappa: 0.3793, kb_relative_information_score: 83.9976, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7129, predictive_accuracy: 0.7154, prior_entropy: 0.9335, recall: 0.7154, relative_absolute_error: 0.6673, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8884, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.7567, kappa: 0.4704, kb_relative_information_score: 89.5775, mean_absolute_error: 0.3032, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7557, predictive_accuracy: 0.7589, prior_entropy: 0.9335, recall: 0.7589, relative_absolute_error: 0.6607, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.8264, scimark_benchmark: 1338.5214, usercpu_time_millis: 5830, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 5760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.7592, kappa: 0.4802, kb_relative_information_score: 82.5776, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7595, predictive_accuracy: 0.7589, prior_entropy: 0.9335, recall: 0.7589, relative_absolute_error: 0.6822, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.8548, scimark_benchmark: 1310.6554, usercpu_time_millis: 240, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, f_measure: 0.719, kappa: 0.3922, kb_relative_information_score: 84.2643, mean_absolute_error: 0.3048, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7187, predictive_accuracy: 0.7194, prior_entropy: 0.9335, recall: 0.7194, relative_absolute_error: 0.6643, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.435, root_relative_squared_error: 0.9039, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.714, kappa: 0.3793, kb_relative_information_score: 83.9976, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7129, predictive_accuracy: 0.7154, prior_entropy: 0.9335, recall: 0.7154, relative_absolute_error: 0.6673, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8884, scimark_benchmark: 1329.8008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.714, kappa: 0.3793, kb_relative_information_score: 83.9976, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7129, predictive_accuracy: 0.7154, prior_entropy: 0.9335, recall: 0.7154, relative_absolute_error: 0.6673, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8884, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.714, kappa: 0.3793, kb_relative_information_score: 83.9976, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7129, predictive_accuracy: 0.7154, prior_entropy: 0.9335, recall: 0.7154, relative_absolute_error: 0.6673, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8884, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.714, kappa: 0.3793, kb_relative_information_score: 83.9976, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7129, predictive_accuracy: 0.7154, prior_entropy: 0.9335, recall: 0.7154, relative_absolute_error: 0.6673, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8884, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.7567, kappa: 0.4704, kb_relative_information_score: 89.5775, mean_absolute_error: 0.3032, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7557, predictive_accuracy: 0.7589, prior_entropy: 0.9335, recall: 0.7589, relative_absolute_error: 0.6607, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.8264, scimark_benchmark: 1371.4836, usercpu_time_millis: 2360, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 2280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.7592, kappa: 0.4802, kb_relative_information_score: 82.5776, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7595, predictive_accuracy: 0.7589, prior_entropy: 0.9335, recall: 0.7589, relative_absolute_error: 0.6822, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.8548, scimark_benchmark: 1324.6442, usercpu_time_millis: 320, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 260,

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