Task
Supervised Classification on autos

Supervised Classification on autos

Task 1773 Supervised Classification autos 294 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.6375, kappa: 0.5321, kb_relative_information_score: 534.6719, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6409, predictive_accuracy: 0.6468, prior_entropy: 2.3268, recall: 0.6468, relative_absolute_error: 0.5596, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2842, root_relative_squared_error: 0.8566, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.6089, kappa: 0.4964, kb_relative_information_score: 520.0132, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6083, predictive_accuracy: 0.6107, prior_entropy: 2.3268, recall: 0.6107, relative_absolute_error: 0.5792, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2837, root_relative_squared_error: 0.8552, scimark_benchmark: 851.2074, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5087, f_measure: 0.1849, kappa: 0.0185, kb_relative_information_score: 161.5252, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.3715, predictive_accuracy: 0.3385, prior_entropy: 2.3268, recall: 0.3385, relative_absolute_error: 0.8555, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4347, root_relative_squared_error: 1.3104, scimark_benchmark: 916.0735, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.723, kappa: 0.6428, kb_relative_information_score: 661.6903, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.7235, predictive_accuracy: 0.7249, prior_entropy: 2.3268, recall: 0.7249, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.7674, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.723, kappa: 0.6428, kb_relative_information_score: 661.6903, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.7235, predictive_accuracy: 0.7249, prior_entropy: 2.3268, recall: 0.7249, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.7674, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8009, f_measure: 0.549, kappa: 0.4145, kb_relative_information_score: 425.4349, mean_absolute_error: 0.1549, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.5577, predictive_accuracy: 0.5551, prior_entropy: 2.3268, recall: 0.5551, relative_absolute_error: 0.7013, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2961, root_relative_squared_error: 0.8925, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.723, kappa: 0.6428, kb_relative_information_score: 661.6903, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.7235, predictive_accuracy: 0.7249, prior_entropy: 2.3268, recall: 0.7249, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.7674, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, f_measure: 0.6739, kappa: 0.5803, kb_relative_information_score: 602.9813, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6702, predictive_accuracy: 0.679, prior_entropy: 2.3268, recall: 0.679, relative_absolute_error: 0.4519, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2702, root_relative_squared_error: 0.8144, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.7586, kappa: 0.6877, kb_relative_information_score: 597.8604, mean_absolute_error: 0.1196, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.758, predictive_accuracy: 0.76, prior_entropy: 2.3268, recall: 0.76, relative_absolute_error: 0.5414, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.6804, scimark_benchmark: 931.771, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5087, f_measure: 0.1849, kappa: 0.0185, kb_relative_information_score: 161.5252, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.3715, predictive_accuracy: 0.3385, prior_entropy: 2.3268, recall: 0.3385, relative_absolute_error: 0.8555, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4347, root_relative_squared_error: 1.3104, scimark_benchmark: 941.3847, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8465, f_measure: 0.6126, kappa: 0.5076, kb_relative_information_score: 536.0016, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6164, predictive_accuracy: 0.6166, prior_entropy: 2.3268, recall: 0.6166, relative_absolute_error: 0.5338, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.9136, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, f_measure: 0.6739, kappa: 0.5803, kb_relative_information_score: 602.9813, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6702, predictive_accuracy: 0.679, prior_entropy: 2.3268, recall: 0.679, relative_absolute_error: 0.4519, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2702, root_relative_squared_error: 0.8144, scimark_benchmark: 937.5117, usercpu_time_millis: 420, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.7586, kappa: 0.6877, kb_relative_information_score: 597.8604, mean_absolute_error: 0.1196, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.758, predictive_accuracy: 0.76, prior_entropy: 2.3268, recall: 0.76, relative_absolute_error: 0.5414, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.6804, scimark_benchmark: 943.1009, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.6375, kappa: 0.5321, kb_relative_information_score: 534.6719, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6409, predictive_accuracy: 0.6468, prior_entropy: 2.3268, recall: 0.6468, relative_absolute_error: 0.5596, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2842, root_relative_squared_error: 0.8566, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.6089, kappa: 0.4964, kb_relative_information_score: 520.0132, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6083, predictive_accuracy: 0.6107, prior_entropy: 2.3268, recall: 0.6107, relative_absolute_error: 0.5792, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2837, root_relative_squared_error: 0.8552, scimark_benchmark: 608.4057, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5087, f_measure: 0.1849, kappa: 0.0185, kb_relative_information_score: 161.5252, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.3715, predictive_accuracy: 0.3385, prior_entropy: 2.3268, recall: 0.3385, relative_absolute_error: 0.8555, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4347, root_relative_squared_error: 1.3104, scimark_benchmark: 927.2882, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.723, kappa: 0.6428, kb_relative_information_score: 661.6903, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.7235, predictive_accuracy: 0.7249, prior_entropy: 2.3268, recall: 0.7249, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.7674, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.723, kappa: 0.6428, kb_relative_information_score: 661.6903, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.7235, predictive_accuracy: 0.7249, prior_entropy: 2.3268, recall: 0.7249, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.7674, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8009, f_measure: 0.549, kappa: 0.4145, kb_relative_information_score: 425.4349, mean_absolute_error: 0.1549, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.5577, predictive_accuracy: 0.5551, prior_entropy: 2.3268, recall: 0.5551, relative_absolute_error: 0.7013, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2961, root_relative_squared_error: 0.8925, scimark_benchmark: 941.4991, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.723, kappa: 0.6428, kb_relative_information_score: 661.6903, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.7235, predictive_accuracy: 0.7249, prior_entropy: 2.3268, recall: 0.7249, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.7674, scimark_benchmark: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, f_measure: 0.6739, kappa: 0.5803, kb_relative_information_score: 602.9813, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6702, predictive_accuracy: 0.679, prior_entropy: 2.3268, recall: 0.679, relative_absolute_error: 0.4519, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2702, root_relative_squared_error: 0.8144, scimark_benchmark: 935.5664, usercpu_time_millis: 420, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.7586, kappa: 0.6877, kb_relative_information_score: 597.8604, mean_absolute_error: 0.1196, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.758, predictive_accuracy: 0.76, prior_entropy: 2.3268, recall: 0.76, relative_absolute_error: 0.5414, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.6804, scimark_benchmark: 936.9595, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.7614, kappa: 0.6941, kb_relative_information_score: 622.979, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.7685, predictive_accuracy: 0.7659, prior_entropy: 2.3268, recall: 0.7659, relative_absolute_error: 0.503, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.6625, scimark_benchmark: 851.2074, usercpu_time_millis: 7820, usercpu_time_millis_testing: 2260, usercpu_time_millis_training: 5560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.763, kappa: 0.6962, kb_relative_information_score: 625.0477, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.7695, predictive_accuracy: 0.7668, prior_entropy: 2.3268, recall: 0.7668, relative_absolute_error: 0.5001, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2195, root_relative_squared_error: 0.6617, scimark_benchmark: 934.7923, usercpu_time_millis: 2660, usercpu_time_millis_testing: 770, usercpu_time_millis_training: 1890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.7589, kappa: 0.6908, kb_relative_information_score: 622.1798, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.7624, predictive_accuracy: 0.7629, prior_entropy: 2.3268, recall: 0.7629, relative_absolute_error: 0.5027, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2215, root_relative_squared_error: 0.6677, scimark_benchmark: 935.0213, usercpu_time_millis: 1450, usercpu_time_millis_testing: 510, usercpu_time_millis_training: 940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.7375, kappa: 0.6613, kb_relative_information_score: 610.1674, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.7396, predictive_accuracy: 0.7405, prior_entropy: 2.3268, recall: 0.7405, relative_absolute_error: 0.5108, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.6865, scimark_benchmark: 939.7883, usercpu_time_millis: 670, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.7416, kappa: 0.6684, kb_relative_information_score: 617.0482, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.7487, predictive_accuracy: 0.7463, prior_entropy: 2.3268, recall: 0.7463, relative_absolute_error: 0.5028, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.6897, scimark_benchmark: 941.9549, usercpu_time_millis: 310, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, f_measure: 0.161, kb_relative_information_score: 0.6309, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.1068, predictive_accuracy: 0.3268, prior_entropy: 2.3268, recall: 0.3268, relative_absolute_error: 1.0036, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3319, root_relative_squared_error: 1.0003, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6845, f_measure: 0.3244, kappa: 0.1986, kb_relative_information_score: 237.1401, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.2574, predictive_accuracy: 0.439, prior_entropy: 2.3268, recall: 0.439, relative_absolute_error: 0.8859, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3172, root_relative_squared_error: 0.9561, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6845, f_measure: 0.3244, kappa: 0.1986, kb_relative_information_score: 237.1401, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.2574, predictive_accuracy: 0.439, prior_entropy: 2.3268, recall: 0.439, relative_absolute_error: 0.8859, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3172, root_relative_squared_error: 0.9561, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6845, f_measure: 0.3244, kappa: 0.1986, kb_relative_information_score: 237.1401, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.2574, predictive_accuracy: 0.439, prior_entropy: 2.3268, recall: 0.439, relative_absolute_error: 0.8859, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3172, root_relative_squared_error: 0.9561, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6845, f_measure: 0.3244, kappa: 0.1986, kb_relative_information_score: 237.1401, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.2574, predictive_accuracy: 0.439, prior_entropy: 2.3268, recall: 0.439, relative_absolute_error: 0.8859, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3172, root_relative_squared_error: 0.9561, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6845, f_measure: 0.3244, kappa: 0.1986, kb_relative_information_score: 237.1401, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.2574, predictive_accuracy: 0.439, prior_entropy: 2.3268, recall: 0.439, relative_absolute_error: 0.8859, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3172, root_relative_squared_error: 0.9561, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.161, kb_relative_information_score: 149.2517, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.1068, predictive_accuracy: 0.3268, prior_entropy: 2.3268, recall: 0.3268, relative_absolute_error: 0.8706, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4386, root_relative_squared_error: 1.3219, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.6623, kappa: 0.5704, kb_relative_information_score: 502.1847, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6684, predictive_accuracy: 0.6751, prior_entropy: 2.3268, recall: 0.6751, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.7639, scimark_benchmark: 926.5859, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.7248, kappa: 0.6415, kb_relative_information_score: 561.2946, mean_absolute_error: 0.1237, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.729, predictive_accuracy: 0.7229, prior_entropy: 2.3268, recall: 0.7229, relative_absolute_error: 0.5601, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2347, root_relative_squared_error: 0.7075, scimark_benchmark: 933.0918, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7497, f_measure: 0.3764, kappa: 0.274, kb_relative_information_score: 192.8338, mean_absolute_error: 0.1994, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.3964, predictive_accuracy: 0.4907, prior_entropy: 2.3268, recall: 0.4907, relative_absolute_error: 0.9026, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3112, root_relative_squared_error: 0.9381, scimark_benchmark: 931.7994, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.6089, kappa: 0.4964, kb_relative_information_score: 520.0132, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6083, predictive_accuracy: 0.6107, prior_entropy: 2.3268, recall: 0.6107, relative_absolute_error: 0.5792, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2837, root_relative_squared_error: 0.8552, scimark_benchmark: 922.9595, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.6089, kappa: 0.4964, kb_relative_information_score: 520.0132, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6083, predictive_accuracy: 0.6107, prior_entropy: 2.3268, recall: 0.6107, relative_absolute_error: 0.5792, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2837, root_relative_squared_error: 0.8552, scimark_benchmark: 1253.0071, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5087, f_measure: 0.1849, kappa: 0.0185, kb_relative_information_score: 161.5252, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.3715, predictive_accuracy: 0.3385, prior_entropy: 2.3268, recall: 0.3385, relative_absolute_error: 0.8555, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4347, root_relative_squared_error: 1.3104, scimark_benchmark: 1352.9931, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.723, kappa: 0.6428, kb_relative_information_score: 661.6903, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.7235, predictive_accuracy: 0.7249, prior_entropy: 2.3268, recall: 0.7249, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.7674, scimark_benchmark: 1354.7111, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.723, kappa: 0.6428, kb_relative_information_score: 661.6903, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.7235, predictive_accuracy: 0.7249, prior_entropy: 2.3268, recall: 0.7249, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.7674, scimark_benchmark: 1364.5528, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.723, kappa: 0.6428, kb_relative_information_score: 661.6903, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.7235, predictive_accuracy: 0.7249, prior_entropy: 2.3268, recall: 0.7249, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.7674, scimark_benchmark: 1330.7859, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8009, f_measure: 0.549, kappa: 0.4145, kb_relative_information_score: 425.4349, mean_absolute_error: 0.1549, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.5577, predictive_accuracy: 0.5551, prior_entropy: 2.3268, recall: 0.5551, relative_absolute_error: 0.7013, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2961, root_relative_squared_error: 0.8925, scimark_benchmark: 1325.6322, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, f_measure: 0.6739, kappa: 0.5803, kb_relative_information_score: 602.9813, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6702, predictive_accuracy: 0.679, prior_entropy: 2.3268, recall: 0.679, relative_absolute_error: 0.4519, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2702, root_relative_squared_error: 0.8144, scimark_benchmark: 1312.3892, usercpu_time_millis: 530, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.7586, kappa: 0.6877, kb_relative_information_score: 597.8604, mean_absolute_error: 0.1196, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.758, predictive_accuracy: 0.76, prior_entropy: 2.3268, recall: 0.76, relative_absolute_error: 0.5414, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.6804, scimark_benchmark: 1292.514, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.6375, kappa: 0.5321, kb_relative_information_score: 534.6719, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6409, predictive_accuracy: 0.6468, prior_entropy: 2.3268, recall: 0.6468, relative_absolute_error: 0.5596, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2842, root_relative_squared_error: 0.8566, scimark_benchmark: 1308.6872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, f_measure: 0.6739, kappa: 0.5803, kb_relative_information_score: 602.9813, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6702, predictive_accuracy: 0.679, prior_entropy: 2.3268, recall: 0.679, relative_absolute_error: 0.4519, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2702, root_relative_squared_error: 0.8144, scimark_benchmark: 1360.0477, usercpu_time_millis: 490, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.7586, kappa: 0.6877, kb_relative_information_score: 597.8604, mean_absolute_error: 0.1196, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.758, predictive_accuracy: 0.76, prior_entropy: 2.3268, recall: 0.76, relative_absolute_error: 0.5414, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.6804, scimark_benchmark: 1343.3311, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.7399, kappa: 0.6646, kb_relative_information_score: 679.3342, mean_absolute_error: 0.0831, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.741, predictive_accuracy: 0.7415, prior_entropy: 2.3268, recall: 0.7415, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2487, root_relative_squared_error: 0.7496, scimark_benchmark: 1260.1387, usercpu_time_millis: 140, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5087, f_measure: 0.1849, kappa: 0.0185, kb_relative_information_score: 161.5252, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.3715, predictive_accuracy: 0.3385, prior_entropy: 2.3268, recall: 0.3385, relative_absolute_error: 0.8555, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4347, root_relative_squared_error: 1.3104, scimark_benchmark: 1334.1324, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, f_measure: 0.6739, kappa: 0.5803, kb_relative_information_score: 602.9813, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6702, predictive_accuracy: 0.679, prior_entropy: 2.3268, recall: 0.679, relative_absolute_error: 0.4519, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2702, root_relative_squared_error: 0.8144, scimark_benchmark: 1347.993, usercpu_time_millis: 480, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.723, kappa: 0.6428, kb_relative_information_score: 661.6903, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.7235, predictive_accuracy: 0.7249, prior_entropy: 2.3268, recall: 0.7249, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.7674, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.7586, kappa: 0.6877, kb_relative_information_score: 597.8604, mean_absolute_error: 0.1196, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.758, predictive_accuracy: 0.76, prior_entropy: 2.3268, recall: 0.76, relative_absolute_error: 0.5414, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.6804, scimark_benchmark: 1326.8946, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8465, f_measure: 0.6126, kappa: 0.5076, kb_relative_information_score: 536.0016, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6164, predictive_accuracy: 0.6166, prior_entropy: 2.3268, recall: 0.6166, relative_absolute_error: 0.5338, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.9136, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.723, kappa: 0.6428, kb_relative_information_score: 661.6903, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.7235, predictive_accuracy: 0.7249, prior_entropy: 2.3268, recall: 0.7249, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.7674, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5087, f_measure: 0.1849, kappa: 0.0185, kb_relative_information_score: 161.5252, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.3715, predictive_accuracy: 0.3385, prior_entropy: 2.3268, recall: 0.3385, relative_absolute_error: 0.8555, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4347, root_relative_squared_error: 1.3104, scimark_benchmark: 918.0213, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.723, kappa: 0.6428, kb_relative_information_score: 661.6903, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.7235, predictive_accuracy: 0.7249, prior_entropy: 2.3268, recall: 0.7249, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.7674, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, f_measure: 0.6739, kappa: 0.5803, kb_relative_information_score: 602.9813, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6702, predictive_accuracy: 0.679, prior_entropy: 2.3268, recall: 0.679, relative_absolute_error: 0.4519, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2702, root_relative_squared_error: 0.8144, scimark_benchmark: 918.0213, usercpu_time_millis: 420, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.6375, kappa: 0.5321, kb_relative_information_score: 534.6719, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6409, predictive_accuracy: 0.6468, prior_entropy: 2.3268, recall: 0.6468, relative_absolute_error: 0.5596, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2842, root_relative_squared_error: 0.8566, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8465, f_measure: 0.6126, kappa: 0.5076, kb_relative_information_score: 536.0016, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6164, predictive_accuracy: 0.6166, prior_entropy: 2.3268, recall: 0.6166, relative_absolute_error: 0.5338, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.9136, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.723, kappa: 0.6428, kb_relative_information_score: 661.6903, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.7235, predictive_accuracy: 0.7249, prior_entropy: 2.3268, recall: 0.7249, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.7674, scimark_benchmark: 1347.917, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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