OpenML
Supervised Classification on sonar

Supervised Classification on sonar

Task 269 Supervised Classification sonar 362 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6635, f_measure: 0.6621, kappa: 0.32, kb_relative_information_score: 20.863, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6628, predictive_accuracy: 0.6618, prior_entropy: 0.9968, recall: 0.6618, relative_absolute_error: 0.6964, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0995, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8191, f_measure: 0.7651, kappa: 0.5282, kb_relative_information_score: 28.5028, mean_absolute_error: 0.2992, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7668, predictive_accuracy: 0.7647, prior_entropy: 0.9968, recall: 0.7647, relative_absolute_error: 0.602, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.8441, scimark_benchmark: 972.587, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7585, f_measure: 0.7358, kappa: 0.4692, kb_relative_information_score: 26.7094, mean_absolute_error: 0.3082, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7375, predictive_accuracy: 0.7353, prior_entropy: 0.9968, recall: 0.7353, relative_absolute_error: 0.62, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4756, root_relative_squared_error: 0.9548, scimark_benchmark: 851.2074, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6046, f_measure: 0.5887, kappa: 0.2202, kb_relative_information_score: 17.5362, mean_absolute_error: 0.3676, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6723, predictive_accuracy: 0.6324, prior_entropy: 0.9968, recall: 0.6324, relative_absolute_error: 0.7396, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6063, root_relative_squared_error: 1.2171, scimark_benchmark: 941.6675, usercpu_time_millis: 140, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.6736, kappa: 0.341, kb_relative_information_score: 24.2853, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6755, predictive_accuracy: 0.6765, prior_entropy: 0.9968, recall: 0.6765, relative_absolute_error: 0.6356, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0083, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.6736, kappa: 0.341, kb_relative_information_score: 24.2853, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6755, predictive_accuracy: 0.6765, prior_entropy: 0.9968, recall: 0.6765, relative_absolute_error: 0.6356, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0083, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7681, f_measure: 0.6915, kappa: 0.3791, kb_relative_information_score: 19.2419, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6921, predictive_accuracy: 0.6912, prior_entropy: 0.9968, recall: 0.6912, relative_absolute_error: 0.7315, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.44, root_relative_squared_error: 0.8833, scimark_benchmark: 941.6675, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.6736, kappa: 0.341, kb_relative_information_score: 24.2853, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6755, predictive_accuracy: 0.6765, prior_entropy: 0.9968, recall: 0.6765, relative_absolute_error: 0.6356, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0083, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.7033, kappa: 0.4009, kb_relative_information_score: 22.7386, mean_absolute_error: 0.3447, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7057, predictive_accuracy: 0.7059, prior_entropy: 0.9968, recall: 0.7059, relative_absolute_error: 0.6935, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.7956, scimark_benchmark: 931.771, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6046, f_measure: 0.5887, kappa: 0.2202, kb_relative_information_score: 17.5362, mean_absolute_error: 0.3676, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6723, predictive_accuracy: 0.6324, prior_entropy: 0.9968, recall: 0.6324, relative_absolute_error: 0.7396, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6063, root_relative_squared_error: 1.2171, scimark_benchmark: 937.5117, usercpu_time_millis: 120, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.6183, kappa: 0.2373, kb_relative_information_score: 18.8948, mean_absolute_error: 0.3565, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6232, predictive_accuracy: 0.6176, prior_entropy: 0.9968, recall: 0.6176, relative_absolute_error: 0.7172, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.544, root_relative_squared_error: 1.0921, scimark_benchmark: 943.1009, usercpu_time_millis: 1350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.7033, kappa: 0.4009, kb_relative_information_score: 22.7386, mean_absolute_error: 0.3447, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7057, predictive_accuracy: 0.7059, prior_entropy: 0.9968, recall: 0.7059, relative_absolute_error: 0.6935, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.7956, scimark_benchmark: 943.1009, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6635, f_measure: 0.6621, kappa: 0.32, kb_relative_information_score: 20.863, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6628, predictive_accuracy: 0.6618, prior_entropy: 0.9968, recall: 0.6618, relative_absolute_error: 0.6964, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0995, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8191, f_measure: 0.7651, kappa: 0.5282, kb_relative_information_score: 28.5028, mean_absolute_error: 0.2992, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7668, predictive_accuracy: 0.7647, prior_entropy: 0.9968, recall: 0.7647, relative_absolute_error: 0.602, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.8441, scimark_benchmark: 935.2002, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7585, f_measure: 0.7358, kappa: 0.4692, kb_relative_information_score: 26.7094, mean_absolute_error: 0.3082, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7375, predictive_accuracy: 0.7353, prior_entropy: 0.9968, recall: 0.7353, relative_absolute_error: 0.62, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4756, root_relative_squared_error: 0.9548, scimark_benchmark: 936.2574, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6046, f_measure: 0.5887, kappa: 0.2202, kb_relative_information_score: 17.5362, mean_absolute_error: 0.3676, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6723, predictive_accuracy: 0.6324, prior_entropy: 0.9968, recall: 0.6324, relative_absolute_error: 0.7396, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6063, root_relative_squared_error: 1.2171, scimark_benchmark: 730.6551, usercpu_time_millis: 150, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.6736, kappa: 0.341, kb_relative_information_score: 24.2853, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6755, predictive_accuracy: 0.6765, prior_entropy: 0.9968, recall: 0.6765, relative_absolute_error: 0.6356, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0083, scimark_benchmark: 903.2737, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.6736, kappa: 0.341, kb_relative_information_score: 24.2853, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6755, predictive_accuracy: 0.6765, prior_entropy: 0.9968, recall: 0.6765, relative_absolute_error: 0.6356, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0083, scimark_benchmark: 903.2737, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7681, f_measure: 0.6915, kappa: 0.3791, kb_relative_information_score: 19.2419, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6921, predictive_accuracy: 0.6912, prior_entropy: 0.9968, recall: 0.6912, relative_absolute_error: 0.7315, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.44, root_relative_squared_error: 0.8833, scimark_benchmark: 941.4991, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.7626, kappa: 0.5207, kb_relative_information_score: 32.7794, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.766, predictive_accuracy: 0.7647, prior_entropy: 0.9968, recall: 0.7647, relative_absolute_error: 0.5338, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.7776, scimark_benchmark: 730.6551, usercpu_time_millis: 350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.6736, kappa: 0.341, kb_relative_information_score: 24.2853, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6755, predictive_accuracy: 0.6765, prior_entropy: 0.9968, recall: 0.6765, relative_absolute_error: 0.6356, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0083, scimark_benchmark: 945.6228, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.7033, kappa: 0.4009, kb_relative_information_score: 22.7386, mean_absolute_error: 0.3447, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7057, predictive_accuracy: 0.7059, prior_entropy: 0.9968, recall: 0.7059, relative_absolute_error: 0.6935, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.7956, scimark_benchmark: 901.4991, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.7791, kappa: 0.5542, kb_relative_information_score: 27.167, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7791, predictive_accuracy: 0.7794, prior_entropy: 0.9968, recall: 0.7794, relative_absolute_error: 0.6307, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.382, root_relative_squared_error: 0.7669, scimark_benchmark: 938.4601, usercpu_time_millis: 6810, usercpu_time_millis_testing: 2770, usercpu_time_millis_training: 4040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.7791, kappa: 0.5542, kb_relative_information_score: 27.1562, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7791, predictive_accuracy: 0.7794, prior_entropy: 0.9968, recall: 0.7794, relative_absolute_error: 0.6287, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.7663, scimark_benchmark: 926.5462, usercpu_time_millis: 3280, usercpu_time_millis_testing: 1210, usercpu_time_millis_training: 2070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.7791, kappa: 0.5542, kb_relative_information_score: 27.8735, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7791, predictive_accuracy: 0.7794, prior_entropy: 0.9968, recall: 0.7794, relative_absolute_error: 0.6215, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.7606, scimark_benchmark: 917.2109, usercpu_time_millis: 1780, usercpu_time_millis_testing: 780, usercpu_time_millis_training: 1000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.7781, kappa: 0.5518, kb_relative_information_score: 28.0139, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7799, predictive_accuracy: 0.7794, prior_entropy: 0.9968, recall: 0.7794, relative_absolute_error: 0.615, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7839, scimark_benchmark: 911.2316, usercpu_time_millis: 700, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.7469, kappa: 0.4894, kb_relative_information_score: 27.0198, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7523, predictive_accuracy: 0.75, prior_entropy: 0.9968, recall: 0.75, relative_absolute_error: 0.6224, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.7879, scimark_benchmark: 936.7184, usercpu_time_millis: 350, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.7469, kappa: 0.4894, kb_relative_information_score: 32.909, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7523, predictive_accuracy: 0.75, prior_entropy: 0.9968, recall: 0.75, relative_absolute_error: 0.5155, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8977, scimark_benchmark: 929.0296, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.7469, kappa: 0.4894, kb_relative_information_score: 32.909, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7523, predictive_accuracy: 0.75, prior_entropy: 0.9968, recall: 0.75, relative_absolute_error: 0.5155, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8977, scimark_benchmark: 929.0296, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.7469, kappa: 0.4894, kb_relative_information_score: 32.909, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7523, predictive_accuracy: 0.75, prior_entropy: 0.9968, recall: 0.75, relative_absolute_error: 0.5155, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8977, scimark_benchmark: 894.7131, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.7469, kappa: 0.4894, kb_relative_information_score: 32.909, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7523, predictive_accuracy: 0.75, prior_entropy: 0.9968, recall: 0.75, relative_absolute_error: 0.5155, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8977, scimark_benchmark: 929.0296, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.7496, kappa: 0.4948, kb_relative_information_score: 31.1305, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7496, predictive_accuracy: 0.75, prior_entropy: 0.9968, recall: 0.75, relative_absolute_error: 0.5554, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.8924, scimark_benchmark: 929.0296, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3835, kb_relative_information_score: -0.0956, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.2961, predictive_accuracy: 0.5441, prior_entropy: 0.9968, recall: 0.5441, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.0003, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7496, kappa: 0.4948, kb_relative_information_score: 33.4622, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7496, predictive_accuracy: 0.75, prior_entropy: 0.9968, recall: 0.75, relative_absolute_error: 0.5063, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4959, root_relative_squared_error: 0.9954, scimark_benchmark: 938.3115, usercpu_time_millis: 680, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.7647, kappa: 0.5257, kb_relative_information_score: 34.0472, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7647, predictive_accuracy: 0.7647, prior_entropy: 0.9968, recall: 0.7647, relative_absolute_error: 0.5011, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4825, root_relative_squared_error: 0.9685, scimark_benchmark: 936.1714, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.7496, kappa: 0.4948, kb_relative_information_score: 32.7689, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7496, predictive_accuracy: 0.75, prior_entropy: 0.9968, recall: 0.75, relative_absolute_error: 0.5168, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4691, root_relative_squared_error: 0.9416, scimark_benchmark: 938.3115, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.7209, kappa: 0.4441, kb_relative_information_score: 28.5356, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.729, predictive_accuracy: 0.7206, prior_entropy: 0.9968, recall: 0.7206, relative_absolute_error: 0.5794, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0074, scimark_benchmark: 938.3115, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7703, f_measure: 0.7059, kappa: 0.4163, kb_relative_information_score: 26.9517, mean_absolute_error: 0.3009, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.717, predictive_accuracy: 0.7059, prior_entropy: 0.9968, recall: 0.7059, relative_absolute_error: 0.6054, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5057, root_relative_squared_error: 1.015, scimark_benchmark: 935.6052, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6046, f_measure: 0.5887, kappa: 0.2202, kb_relative_information_score: 17.5362, mean_absolute_error: 0.3676, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6723, predictive_accuracy: 0.6324, prior_entropy: 0.9968, recall: 0.6324, relative_absolute_error: 0.7396, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6063, root_relative_squared_error: 1.2171, scimark_benchmark: 1319.4538, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, f_measure: 0.6753, kappa: 0.3444, kb_relative_information_score: 24.9648, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6754, predictive_accuracy: 0.6765, prior_entropy: 0.9968, recall: 0.6765, relative_absolute_error: 0.6286, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5055, root_relative_squared_error: 1.0148, scimark_benchmark: 1331.2559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.6736, kappa: 0.341, kb_relative_information_score: 24.2853, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6755, predictive_accuracy: 0.6765, prior_entropy: 0.9968, recall: 0.6765, relative_absolute_error: 0.6356, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0083, scimark_benchmark: 1337.9552, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.7626, kappa: 0.5207, kb_relative_information_score: 32.7794, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.766, predictive_accuracy: 0.7647, prior_entropy: 0.9968, recall: 0.7647, relative_absolute_error: 0.5338, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.7776, scimark_benchmark: 1393.8432, usercpu_time_millis: 250, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6046, f_measure: 0.5887, kappa: 0.2202, kb_relative_information_score: 17.5362, mean_absolute_error: 0.3676, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6723, predictive_accuracy: 0.6324, prior_entropy: 0.9968, recall: 0.6324, relative_absolute_error: 0.7396, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6063, root_relative_squared_error: 1.2171, scimark_benchmark: 1337.1928, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, f_measure: 0.6753, kappa: 0.3444, kb_relative_information_score: 24.9648, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6754, predictive_accuracy: 0.6765, prior_entropy: 0.9968, recall: 0.6765, relative_absolute_error: 0.6286, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5055, root_relative_squared_error: 1.0148, scimark_benchmark: 1342.2845, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.6736, kappa: 0.341, kb_relative_information_score: 24.2853, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6755, predictive_accuracy: 0.6765, prior_entropy: 0.9968, recall: 0.6765, relative_absolute_error: 0.6356, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0083, scimark_benchmark: 1325.8468, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.6736, kappa: 0.341, kb_relative_information_score: 24.2853, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6755, predictive_accuracy: 0.6765, prior_entropy: 0.9968, recall: 0.6765, relative_absolute_error: 0.6356, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0083, scimark_benchmark: 1342.2845, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.6736, kappa: 0.341, kb_relative_information_score: 24.2853, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6755, predictive_accuracy: 0.6765, prior_entropy: 0.9968, recall: 0.6765, relative_absolute_error: 0.6356, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0083, scimark_benchmark: 1331.1314, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.7626, kappa: 0.5207, kb_relative_information_score: 32.7794, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.766, predictive_accuracy: 0.7647, prior_entropy: 0.9968, recall: 0.7647, relative_absolute_error: 0.5338, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.7776, scimark_benchmark: 1332.7986, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.6736, kappa: 0.341, kb_relative_information_score: 24.2853, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6755, predictive_accuracy: 0.6765, prior_entropy: 0.9968, recall: 0.6765, relative_absolute_error: 0.6356, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0083, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.6183, kappa: 0.2373, kb_relative_information_score: 18.8948, mean_absolute_error: 0.3565, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6232, predictive_accuracy: 0.6176, prior_entropy: 0.9968, recall: 0.6176, relative_absolute_error: 0.7172, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.544, root_relative_squared_error: 1.0921, scimark_benchmark: 1317.6232, usercpu_time_millis: 1130, usercpu_time_millis_training: 1130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.7033, kappa: 0.4009, kb_relative_information_score: 22.7386, mean_absolute_error: 0.3447, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7057, predictive_accuracy: 0.7059, prior_entropy: 0.9968, recall: 0.7059, relative_absolute_error: 0.6935, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.7956, scimark_benchmark: 1310.6554, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7585, f_measure: 0.7358, kappa: 0.4692, kb_relative_information_score: 26.7094, mean_absolute_error: 0.3082, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7375, predictive_accuracy: 0.7353, prior_entropy: 0.9968, recall: 0.7353, relative_absolute_error: 0.62, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4756, root_relative_squared_error: 0.9548, scimark_benchmark: 1253.0071, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6046, f_measure: 0.5887, kappa: 0.2202, kb_relative_information_score: 17.5362, mean_absolute_error: 0.3676, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6723, predictive_accuracy: 0.6324, prior_entropy: 0.9968, recall: 0.6324, relative_absolute_error: 0.7396, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6063, root_relative_squared_error: 1.2171, scimark_benchmark: 1334.9442, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.6736, kappa: 0.341, kb_relative_information_score: 24.2853, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6755, predictive_accuracy: 0.6765, prior_entropy: 0.9968, recall: 0.6765, relative_absolute_error: 0.6356, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0083, scimark_benchmark: 1336.4564, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.6736, kappa: 0.341, kb_relative_information_score: 24.2853, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6755, predictive_accuracy: 0.6765, prior_entropy: 0.9968, recall: 0.6765, relative_absolute_error: 0.6356, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0083, scimark_benchmark: 1342.6744, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.6736, kappa: 0.341, kb_relative_information_score: 24.2853, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6755, predictive_accuracy: 0.6765, prior_entropy: 0.9968, recall: 0.6765, relative_absolute_error: 0.6356, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0083, scimark_benchmark: 1335.2363, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.6183, kappa: 0.2373, kb_relative_information_score: 18.8948, mean_absolute_error: 0.3565, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6232, predictive_accuracy: 0.6176, prior_entropy: 0.9968, recall: 0.6176, relative_absolute_error: 0.7172, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.544, root_relative_squared_error: 1.0921, scimark_benchmark: 1306.5596, usercpu_time_millis: 1310, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.7033, kappa: 0.4009, kb_relative_information_score: 22.7386, mean_absolute_error: 0.3447, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7057, predictive_accuracy: 0.7059, prior_entropy: 0.9968, recall: 0.7059, relative_absolute_error: 0.6935, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.7956, scimark_benchmark: 1296.9979, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.6736, kappa: 0.341, kb_relative_information_score: 24.2853, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6755, predictive_accuracy: 0.6765, prior_entropy: 0.9968, recall: 0.6765, relative_absolute_error: 0.6356, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0083, scimark_benchmark: 1344.0499, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.6736, kappa: 0.341, kb_relative_information_score: 24.2853, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6755, predictive_accuracy: 0.6765, prior_entropy: 0.9968, recall: 0.6765, relative_absolute_error: 0.6356, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0083, scimark_benchmark: 1324.9809, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.7033, kappa: 0.4009, kb_relative_information_score: 22.7386, mean_absolute_error: 0.3447, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7057, predictive_accuracy: 0.7059, prior_entropy: 0.9968, recall: 0.7059, relative_absolute_error: 0.6935, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.7956, scimark_benchmark: 1260.1387, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6635, f_measure: 0.6621, kappa: 0.32, kb_relative_information_score: 20.863, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6628, predictive_accuracy: 0.6618, prior_entropy: 0.9968, recall: 0.6618, relative_absolute_error: 0.6964, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0995, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6046, f_measure: 0.5887, kappa: 0.2202, kb_relative_information_score: 17.5362, mean_absolute_error: 0.3676, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6723, predictive_accuracy: 0.6324, prior_entropy: 0.9968, recall: 0.6324, relative_absolute_error: 0.7396, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6063, root_relative_squared_error: 1.2171, scimark_benchmark: 1375.1578, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,

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