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: 0.8073, 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: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_testing: 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: 1347.993, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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: 1326.8946, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, f_measure: 0.7049, kappa: 0.404, kb_relative_information_score: 19.8334, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7051, predictive_accuracy: 0.7059, prior_entropy: 0.9968, recall: 0.7059, relative_absolute_error: 0.7361, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4521, root_relative_squared_error: 0.9074, scimark_benchmark: 1227.9507, usercpu_time_millis: 940, usercpu_time_millis_testing: 940,
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: 932.5646, 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: 932.5646, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, 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: 1297.2338, usercpu_time_millis: 350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, 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: 938.0414, 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: 1288.1375, usercpu_time_millis: 10, usercpu_time_millis_testing: 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: 918.0213, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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: 1328.1857, usercpu_time_millis: 1190, usercpu_time_millis_training: 1190,
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: 1260.1387, usercpu_time_millis: 260, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 240,
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: 1280.6338, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
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: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1342.6911, 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: 1343.2125, 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: 915.9324, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.6753, kappa: 0.3444, kb_relative_information_score: 24.7423, mean_absolute_error: 0.3127, 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: 0.6292, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.495, root_relative_squared_error: 0.9936, scimark_benchmark: 1151.6869, usercpu_time_millis: 310, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.7496, kappa: 0.4948, kb_relative_information_score: 33.5938, mean_absolute_error: 0.2505, 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: 0.5039, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4962, root_relative_squared_error: 0.996, scimark_benchmark: 1318.6149, usercpu_time_millis: 5260, usercpu_time_millis_testing: 5260,
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: 942.9708, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6827, f_measure: 0.6765, kappa: 0.3479, kb_relative_information_score: 20.4038, mean_absolute_error: 0.3506, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6765, predictive_accuracy: 0.6765, prior_entropy: 0.9968, recall: 0.6765, relative_absolute_error: 0.7053, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5475, root_relative_squared_error: 1.099, scimark_benchmark: 892.0148, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7424, f_measure: 0.7209, kappa: 0.4383, kb_relative_information_score: 29.3502, mean_absolute_error: 0.2818, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7215, predictive_accuracy: 0.7206, prior_entropy: 0.9968, recall: 0.7206, relative_absolute_error: 0.567, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5156, root_relative_squared_error: 1.035, scimark_benchmark: 892.0148, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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: 1320.9026, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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: 1343.6648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.7639, kappa: 0.5232, kb_relative_information_score: 18.6757, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7644, predictive_accuracy: 0.7647, prior_entropy: 0.9968, recall: 0.7647, relative_absolute_error: 0.7604, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8366, scimark_benchmark: 1333.8751, usercpu_time_millis: 430, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 19.964, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7353, predictive_accuracy: 0.7353, prior_entropy: 0.9968, recall: 0.7353, relative_absolute_error: 0.7418, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8243, scimark_benchmark: 1342.1678, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
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: 950.6776, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.7344, kappa: 0.4636, kb_relative_information_score: 33.1762, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7347, predictive_accuracy: 0.7353, prior_entropy: 0.9968, recall: 0.7353, relative_absolute_error: 0.5067, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.942, scimark_benchmark: 1327.2954, usercpu_time_millis: 410, usercpu_time_millis_training: 410,
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: 1342.4239, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7524, f_measure: 0.6621, kappa: 0.32, kb_relative_information_score: 21.0717, mean_absolute_error: 0.3459, 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: 0.6959, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4825, root_relative_squared_error: 0.9686, scimark_benchmark: 1368.9272, usercpu_time_millis: 340, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, f_measure: 0.7064, kappa: 0.4102, kb_relative_information_score: 27.6006, mean_absolute_error: 0.2941, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7081, predictive_accuracy: 0.7059, prior_entropy: 0.9968, recall: 0.7059, relative_absolute_error: 0.5917, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5423, root_relative_squared_error: 1.0886, scimark_benchmark: 1349.1028, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 885.0921, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7354, f_measure: 0.7202, kappa: 0.4353, kb_relative_information_score: 30.4462, mean_absolute_error: 0.2721, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.72, predictive_accuracy: 0.7206, prior_entropy: 0.9968, recall: 0.7206, relative_absolute_error: 0.5473, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5163, root_relative_squared_error: 1.0364, scimark_benchmark: 1371.9645, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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: 1168.3268, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7681, f_measure: 0.7651, kappa: 0.5306, kb_relative_information_score: 35.6521, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7708, predictive_accuracy: 0.7647, prior_entropy: 0.9968, recall: 0.7647, relative_absolute_error: 0.4734, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4851, root_relative_squared_error: 0.9737, scimark_benchmark: 1308.3432,
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: 1281.7531, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
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: 855.8522,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8483, f_measure: 0.7485, kappa: 0.4921, kb_relative_information_score: 21.6827, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.75, predictive_accuracy: 0.75, prior_entropy: 0.9968, recall: 0.75, relative_absolute_error: 0.7163, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8069, scimark_benchmark: 876.0664, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.7781, kappa: 0.5518, kb_relative_information_score: 36.0272, mean_absolute_error: 0.2371, 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: 0.477, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.424, root_relative_squared_error: 0.8512, scimark_benchmark: 938.9967, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, f_measure: 0.7344, kappa: 0.4636, kb_relative_information_score: 20.9174, mean_absolute_error: 0.3587, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7347, predictive_accuracy: 0.7353, prior_entropy: 0.9968, recall: 0.7353, relative_absolute_error: 0.7217, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8387, scimark_benchmark: 938.9967, usercpu_time_millis: 350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.7639, kappa: 0.5232, kb_relative_information_score: 21.3539, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7644, predictive_accuracy: 0.7647, prior_entropy: 0.9968, recall: 0.7647, relative_absolute_error: 0.7127, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.8397, scimark_benchmark: 1339.3974, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.7202, kappa: 0.4353, kb_relative_information_score: 21.2245, mean_absolute_error: 0.3526, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.72, predictive_accuracy: 0.7206, prior_entropy: 0.9968, recall: 0.7206, relative_absolute_error: 0.7093, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8433, scimark_benchmark: 933.3136, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 30.7466, mean_absolute_error: 0.2743, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7353, predictive_accuracy: 0.7353, prior_entropy: 0.9968, recall: 0.7353, relative_absolute_error: 0.5518, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4696, root_relative_squared_error: 0.9426, scimark_benchmark: 939.9176, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8548, f_measure: 0.7791, kappa: 0.5542, kb_relative_information_score: 37.7991, mean_absolute_error: 0.2198, 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: 0.4422, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9172, scimark_benchmark: 918.6005, usercpu_time_millis: 970, usercpu_time_millis_training: 970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.7626, kappa: 0.5207, kb_relative_information_score: 34.7037, mean_absolute_error: 0.2425, 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: 0.4879, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4653, root_relative_squared_error: 0.9341, scimark_benchmark: 942.6843, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.8077, kappa: 0.6116, kb_relative_information_score: 37.1738, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.8098, predictive_accuracy: 0.8088, prior_entropy: 0.9968, recall: 0.8088, relative_absolute_error: 0.4599, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4287, root_relative_squared_error: 0.8605, scimark_benchmark: 1372.2145, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 32.2397, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7353, predictive_accuracy: 0.7353, prior_entropy: 0.9968, recall: 0.7353, relative_absolute_error: 0.529, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4445, root_relative_squared_error: 0.8922, scimark_benchmark: 939.5088, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.7945, kappa: 0.5872, kb_relative_information_score: 29.4248, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7962, predictive_accuracy: 0.7941, prior_entropy: 0.9968, recall: 0.7941, relative_absolute_error: 0.5826, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.8623, scimark_benchmark: 1333.5799, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.7496, kappa: 0.4948, kb_relative_information_score: 26.2393, mean_absolute_error: 0.3123, 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: 0.6283, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.435, root_relative_squared_error: 0.8732, scimark_benchmark: 930.5999, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.7496, kappa: 0.4948, kb_relative_information_score: 30.0117, mean_absolute_error: 0.2805, 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: 0.5642, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.8986, scimark_benchmark: 869.6028, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, f_measure: 0.6918, kappa: 0.3824, kb_relative_information_score: 25.5877, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6951, predictive_accuracy: 0.6912, prior_entropy: 0.9968, recall: 0.6912, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5557, root_relative_squared_error: 1.1155, scimark_benchmark: 916.5955, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6691, f_measure: 0.6679, kappa: 0.3521, kb_relative_information_score: 25.5877, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7262, predictive_accuracy: 0.6912, prior_entropy: 0.9968, recall: 0.6912, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5557, root_relative_squared_error: 1.1155, scimark_benchmark: 912.5006, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7171, f_measure: 0.7202, kappa: 0.4353, kb_relative_information_score: 29.6135, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.72, predictive_accuracy: 0.7206, prior_entropy: 0.9968, recall: 0.7206, relative_absolute_error: 0.5621, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5286, root_relative_squared_error: 1.0611, scimark_benchmark: 939.449, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7524, f_measure: 0.6621, kappa: 0.32, kb_relative_information_score: 21.0717, mean_absolute_error: 0.3459, 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: 0.6959, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4825, root_relative_squared_error: 0.9686, scimark_benchmark: 912.5006, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, f_measure: 0.7064, kappa: 0.4102, kb_relative_information_score: 27.6006, mean_absolute_error: 0.2941, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7081, predictive_accuracy: 0.7059, prior_entropy: 0.9968, recall: 0.7059, relative_absolute_error: 0.5917, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5423, root_relative_squared_error: 1.0886, scimark_benchmark: 1386.5717, usercpu_time_millis: 10, usercpu_time_millis_training: 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: 1363.434, usercpu_time_millis: 260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 250,
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: 1307.4861, usercpu_time_millis: 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: 1309.3173, usercpu_time_millis: 1200, usercpu_time_millis_training: 1200,
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: 1333.5799, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7119, f_measure: 0.7172, kappa: 0.4293, kb_relative_information_score: 29.6135, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.7218, predictive_accuracy: 0.7206, prior_entropy: 0.9968, recall: 0.7206, relative_absolute_error: 0.5621, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5286, root_relative_squared_error: 1.0611, scimark_benchmark: 1313.5726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8152, f_measure: 0.7781, kappa: 0.5518, kb_relative_information_score: 32.1349, mean_absolute_error: 0.2716, 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: 0.5464, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.8392, scimark_benchmark: 1066.7184, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7833, f_measure: 0.7202, kappa: 0.4353, kb_relative_information_score: 27.9296, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.72, predictive_accuracy: 0.7206, prior_entropy: 0.9968, recall: 0.7206, relative_absolute_error: 0.5946, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.478, root_relative_squared_error: 0.9596, scimark_benchmark: 1290.1085, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5963, f_measure: 0.5923, kappa: 0.2, kb_relative_information_score: 15.5233, mean_absolute_error: 0.3824, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.6257, predictive_accuracy: 0.6176, prior_entropy: 0.9968, recall: 0.6176, relative_absolute_error: 0.7692, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6183, root_relative_squared_error: 1.2412, scimark_benchmark: 1372.2145, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2855, kb_relative_information_score: -6.6184, mean_absolute_error: 0.5441, mean_prior_absolute_error: 0.4971, number_of_instances: 68, precision: 0.2078, predictive_accuracy: 0.4559, prior_entropy: 0.9968, recall: 0.4559, relative_absolute_error: 1.0947, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.7376, root_relative_squared_error: 1.4807, scimark_benchmark: 1368.9272, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, 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