Task
Supervised Classification on meta_stream_intervals.arff

Supervised Classification on meta_stream_intervals.arff

Task 2980 Supervised Classification meta_stream_intervals.arff 105 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9897, kappa: 0.9852, kb_relative_information_score: 443642.1419, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.9897, predictive_accuracy: 0.9897, prior_entropy: 2.3329, recall: 0.9897, relative_absolute_error: 0.0185, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0378, root_relative_squared_error: 0.1632, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.992, kappa: 0.9884, kb_relative_information_score: 445327.3769, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.9921, predictive_accuracy: 0.9919, prior_entropy: 2.3329, recall: 0.9919, relative_absolute_error: 0.0129, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0339, root_relative_squared_error: 0.1466, scimark_benchmark: 933.4823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.8351, kappa: 0.7633, kb_relative_information_score: 312581.4357, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.8353, predictive_accuracy: 0.8397, prior_entropy: 2.3329, recall: 0.8397, relative_absolute_error: 0.4406, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.142, root_relative_squared_error: 0.6135, scimark_benchmark: 851.2074, usercpu_time_millis: 503460, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 503320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9912, kappa: 0.9874, kb_relative_information_score: 445730.678, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.9912, predictive_accuracy: 0.9912, prior_entropy: 2.3329, recall: 0.9912, relative_absolute_error: 0.0147, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0328, root_relative_squared_error: 0.1419, scimark_benchmark: 927.2917, usercpu_time_millis: 16983100, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 16982820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9945, kappa: 0.9921, kb_relative_information_score: 446616.5525, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 2.3329, recall: 0.9945, relative_absolute_error: 0.0177, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0257, root_relative_squared_error: 0.111, scimark_benchmark: 934.7083, usercpu_time_millis: 1603960, usercpu_time_millis_testing: 189680, usercpu_time_millis_training: 1414280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9897, kappa: 0.9852, kb_relative_information_score: 443642.1419, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.9897, predictive_accuracy: 0.9897, prior_entropy: 2.3329, recall: 0.9897, relative_absolute_error: 0.0185, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0378, root_relative_squared_error: 0.1632, scimark_benchmark: 819.5729, usercpu_time_millis: 15190, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 14830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.8351, kappa: 0.7633, kb_relative_information_score: 312581.4357, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.8353, predictive_accuracy: 0.8397, prior_entropy: 2.3329, recall: 0.8397, relative_absolute_error: 0.4406, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.142, root_relative_squared_error: 0.6135, scimark_benchmark: 936.2574, usercpu_time_millis: 436200, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 436090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9946, kappa: 0.9923, kb_relative_information_score: 446612.8191, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.9946, predictive_accuracy: 0.9946, prior_entropy: 2.3329, recall: 0.9946, relative_absolute_error: 0.0178, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0255, root_relative_squared_error: 0.1101, scimark_benchmark: 906.5979, usercpu_time_millis: 7456070, usercpu_time_millis_testing: 722690, usercpu_time_millis_training: 6733380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9945, kappa: 0.9922, kb_relative_information_score: 446617.473, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.9946, predictive_accuracy: 0.9945, prior_entropy: 2.3329, recall: 0.9945, relative_absolute_error: 0.0178, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0256, root_relative_squared_error: 0.1105, scimark_benchmark: 936.3213, usercpu_time_millis: 3991540, usercpu_time_millis_testing: 373010, usercpu_time_millis_training: 3618530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9944, kappa: 0.9919, kb_relative_information_score: 446513.3168, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 2.3329, recall: 0.9944, relative_absolute_error: 0.0179, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0264, root_relative_squared_error: 0.1139, scimark_benchmark: 905.3417, usercpu_time_millis: 853330, usercpu_time_millis_testing: 55260, usercpu_time_millis_training: 798070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.994, kappa: 0.9914, kb_relative_information_score: 446349.488, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.9941, predictive_accuracy: 0.994, prior_entropy: 2.3329, recall: 0.994, relative_absolute_error: 0.018, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0275, root_relative_squared_error: 0.1186, scimark_benchmark: 936.7286, usercpu_time_millis: 464180, usercpu_time_millis_testing: 20260, usercpu_time_millis_training: 443920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9492, kappa: 0.9271, kb_relative_information_score: 406756.5626, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.949, predictive_accuracy: 0.9495, prior_entropy: 2.3329, recall: 0.9495, relative_absolute_error: 0.1491, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.081, root_relative_squared_error: 0.3499, scimark_benchmark: 929.0296, usercpu_time_millis: 33030, usercpu_time_millis_testing: 970, usercpu_time_millis_training: 32060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6267, f_measure: 0.3442, kb_relative_information_score: 67057.272, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.2598, predictive_accuracy: 0.5097, prior_entropy: 2.3329, recall: 0.5097, relative_absolute_error: 0.9493, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.9744, scimark_benchmark: 938.3115, usercpu_time_millis: 5470, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 5410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6267, f_measure: 0.3442, kb_relative_information_score: 67057.272, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.2598, predictive_accuracy: 0.5097, prior_entropy: 2.3329, recall: 0.5097, relative_absolute_error: 0.9493, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.9744, scimark_benchmark: 935.6052, usercpu_time_millis: 4910, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 4860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6267, f_measure: 0.3442, kb_relative_information_score: 67057.272, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.2598, predictive_accuracy: 0.5097, prior_entropy: 2.3329, recall: 0.5097, relative_absolute_error: 0.9493, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.9744, scimark_benchmark: 938.3115, usercpu_time_millis: 5580, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 5520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6267, f_measure: 0.3442, kb_relative_information_score: 67057.272, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.2598, predictive_accuracy: 0.5097, prior_entropy: 2.3329, recall: 0.5097, relative_absolute_error: 0.9493, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.9744, scimark_benchmark: 938.3115, usercpu_time_millis: 6360, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 6300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6267, f_measure: 0.3442, kb_relative_information_score: 67057.272, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.2598, predictive_accuracy: 0.5097, prior_entropy: 2.3329, recall: 0.5097, relative_absolute_error: 0.9493, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.9744, scimark_benchmark: 941.9549, usercpu_time_millis: 5040, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 4980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3442, kb_relative_information_score: 83048.6117, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.2598, predictive_accuracy: 0.5097, prior_entropy: 2.3329, recall: 0.5097, relative_absolute_error: 0.7039, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.2746, root_relative_squared_error: 1.1865, scimark_benchmark: 938.3115, usercpu_time_millis: 360, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9597, kappa: 0.9419, kb_relative_information_score: 425234.7015, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.9602, predictive_accuracy: 0.9596, prior_entropy: 2.3329, recall: 0.9596, relative_absolute_error: 0.0581, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.3307, scimark_benchmark: 930.0565, usercpu_time_millis: 148432700, usercpu_time_millis_testing: 148432690, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9935, kappa: 0.9907, kb_relative_information_score: 446570.2099, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 2.3329, recall: 0.9935, relative_absolute_error: 0.0155, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0281, root_relative_squared_error: 0.1216, scimark_benchmark: 906.0884, usercpu_time_millis: 512980, usercpu_time_millis_testing: 8460, usercpu_time_millis_training: 504520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.4625, kappa: 0.2622, kb_relative_information_score: 140440.8536, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.5267, predictive_accuracy: 0.5825, prior_entropy: 2.3329, recall: 0.5825, relative_absolute_error: 0.8431, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.9076, scimark_benchmark: 935.8024, usercpu_time_millis: 133083040, usercpu_time_millis_testing: 133083040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.666, f_measure: 0.3442, kb_relative_information_score: 67599.5005, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.2598, predictive_accuracy: 0.5097, prior_entropy: 2.3329, recall: 0.5097, relative_absolute_error: 0.9479, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.9724, scimark_benchmark: 931.7994, usercpu_time_millis: 1160, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 1080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9897, kappa: 0.9852, kb_relative_information_score: 443642.1419, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.9897, predictive_accuracy: 0.9897, prior_entropy: 2.3329, recall: 0.9897, relative_absolute_error: 0.0185, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0378, root_relative_squared_error: 0.1632, scimark_benchmark: 935.6052, usercpu_time_millis: 7900, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 7610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.8351, kappa: 0.7633, kb_relative_information_score: 312581.4357, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.8353, predictive_accuracy: 0.8397, prior_entropy: 2.3329, recall: 0.8397, relative_absolute_error: 0.4406, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.142, root_relative_squared_error: 0.6135, scimark_benchmark: 918.5231, usercpu_time_millis: 451420, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 451310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9897, kappa: 0.9852, kb_relative_information_score: 443642.1419, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.9897, predictive_accuracy: 0.9897, prior_entropy: 2.3329, recall: 0.9897, relative_absolute_error: 0.0185, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0378, root_relative_squared_error: 0.1632, scimark_benchmark: 936.4883, usercpu_time_millis: 7720, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 7360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5026, f_measure: 0.3523, kappa: 0.0095, kb_relative_information_score: 84548.8319, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.4923, predictive_accuracy: 0.508, prior_entropy: 2.3329, recall: 0.508, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.2751, root_relative_squared_error: 1.1886, scimark_benchmark: 922.1419, usercpu_time_millis: 26310820, usercpu_time_millis_testing: 2152020, usercpu_time_millis_training: 24158800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9925, kappa: 0.9893, kb_relative_information_score: 445477.4144, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.9926, predictive_accuracy: 0.9925, prior_entropy: 2.3329, recall: 0.9925, relative_absolute_error: 0.0204, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0297, root_relative_squared_error: 0.1281, scimark_benchmark: 1292.514, usercpu_time_millis: 126720, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 126250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9897, kappa: 0.9852, kb_relative_information_score: 443642.1419, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.9897, predictive_accuracy: 0.9897, prior_entropy: 2.3329, recall: 0.9897, relative_absolute_error: 0.0185, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0378, root_relative_squared_error: 0.1632, scimark_benchmark: 1342.8632, usercpu_time_millis: 5030, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 4770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9897, kappa: 0.9852, kb_relative_information_score: 443642.1419, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.9897, predictive_accuracy: 0.9897, prior_entropy: 2.3329, recall: 0.9897, relative_absolute_error: 0.0185, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0378, root_relative_squared_error: 0.1632, scimark_benchmark: 1309.4998, usercpu_time_millis: 6270, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 6020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9501, kappa: 0.9283, kb_relative_information_score: 411243.406, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.9501, predictive_accuracy: 0.9502, prior_entropy: 2.3329, recall: 0.9502, relative_absolute_error: 0.1438, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0792, root_relative_squared_error: 0.3422, scimark_benchmark: 1312.3892, usercpu_time_millis: 2000650, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 2000130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9897, kappa: 0.9852, kb_relative_information_score: 443642.1419, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.9897, predictive_accuracy: 0.9897, prior_entropy: 2.3329, recall: 0.9897, relative_absolute_error: 0.0185, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0378, root_relative_squared_error: 0.1632, scimark_benchmark: 1330.9181, usercpu_time_millis: 6200, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 5900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.8351, kappa: 0.7633, kb_relative_information_score: 312581.4357, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.8353, predictive_accuracy: 0.8397, prior_entropy: 2.3329, recall: 0.8397, relative_absolute_error: 0.4406, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.142, root_relative_squared_error: 0.6135, scimark_benchmark: 1313.8988, usercpu_time_millis: 260450, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 260340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.989, kappa: 0.9842, kb_relative_information_score: 443149.2208, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.989, predictive_accuracy: 0.989, prior_entropy: 2.3329, recall: 0.989, relative_absolute_error: 0.017, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0404, root_relative_squared_error: 0.1743, scimark_benchmark: 1319.5773, usercpu_time_millis: 24240, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 24040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9897, kappa: 0.9852, kb_relative_information_score: 443642.1419, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.9897, predictive_accuracy: 0.9897, prior_entropy: 2.3329, recall: 0.9897, relative_absolute_error: 0.0185, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0378, root_relative_squared_error: 0.1632, scimark_benchmark: 1316.6741, usercpu_time_millis: 5400, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 5150,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9901, kappa: 0.9858, kb_relative_information_score: 443514.9765, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.9902, predictive_accuracy: 0.9901, prior_entropy: 2.3329, recall: 0.9901, relative_absolute_error: 0.0186, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0377, root_relative_squared_error: 0.1628, scimark_benchmark: 1307.7326, usercpu_time_millis: 253120, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 253030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.8351, kappa: 0.7633, kb_relative_information_score: 312581.4357, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.8353, predictive_accuracy: 0.8397, prior_entropy: 2.3329, recall: 0.8397, relative_absolute_error: 0.4406, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.142, root_relative_squared_error: 0.6135, scimark_benchmark: 1313.5005, usercpu_time_millis: 349260, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 349160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9904, kappa: 0.9861, kb_relative_information_score: 444042.5841, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.9904, predictive_accuracy: 0.9904, prior_entropy: 2.3329, recall: 0.9904, relative_absolute_error: 0.0171, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0373, root_relative_squared_error: 0.1613, scimark_benchmark: 1334.8495, usercpu_time_millis: 63700, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 63650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9925, kappa: 0.9892, kb_relative_information_score: 445443.5483, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.9925, predictive_accuracy: 0.9925, prior_entropy: 2.3329, recall: 0.9925, relative_absolute_error: 0.0204, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0299, root_relative_squared_error: 0.1293, scimark_benchmark: 1301.9176, usercpu_time_millis: 56670, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 56450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9784, kappa: 0.9689, kb_relative_information_score: 431413.6773, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.9784, predictive_accuracy: 0.9784, prior_entropy: 2.3329, recall: 0.9784, relative_absolute_error: 0.0738, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0512, root_relative_squared_error: 0.2212, scimark_benchmark: 1073.494, usercpu_time_millis: 1050310, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 1050190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.6803, kappa: 0.5792, kb_relative_information_score: 87641.8494, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.8068, predictive_accuracy: 0.6585, prior_entropy: 2.3329, recall: 0.6585, relative_absolute_error: 1.1226, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.2338, root_relative_squared_error: 1.01, scimark_benchmark: 876.0664, usercpu_time_millis: 3920, usercpu_time_millis_testing: 3180, usercpu_time_millis_training: 740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3442, kb_relative_information_score: 8.6251, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.2598, predictive_accuracy: 0.5097, prior_entropy: 2.3329, recall: 0.5097, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.2315, root_relative_squared_error: 1, scimark_benchmark: 916.6405, usercpu_time_millis: 260, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6686, f_measure: 0.565, kappa: 0.3491, kb_relative_information_score: -9364.0397, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.6528, predictive_accuracy: 0.6387, prior_entropy: 2.3329, recall: 0.6387, relative_absolute_error: 1.2557, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.2567, root_relative_squared_error: 1.1091, scimark_benchmark: 916.6405, usercpu_time_millis: 450, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9663, kappa: 0.9516, kb_relative_information_score: 416253.3448, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.9663, predictive_accuracy: 0.9664, prior_entropy: 2.3329, recall: 0.9664, relative_absolute_error: 0.1312, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0674, root_relative_squared_error: 0.291, scimark_benchmark: 924.3698, usercpu_time_millis: 385300, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 385180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9937, kappa: 0.9909, kb_relative_information_score: 445644.9052, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.9937, predictive_accuracy: 0.9937, prior_entropy: 2.3329, recall: 0.9937, relative_absolute_error: 0.0209, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0279, root_relative_squared_error: 0.1205, scimark_benchmark: 1299.5783, usercpu_time_millis: 77140, usercpu_time_millis_testing: 1260, usercpu_time_millis_training: 75880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9933, kappa: 0.9904, kb_relative_information_score: 445526.8008, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 2.3329, recall: 0.9933, relative_absolute_error: 0.0209, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0287, root_relative_squared_error: 0.1241, scimark_benchmark: 1321.527, usercpu_time_millis: 19260, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 18900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9523, kappa: 0.9314, kb_relative_information_score: 412948.9217, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.9523, predictive_accuracy: 0.9523, prior_entropy: 2.3329, recall: 0.9523, relative_absolute_error: 0.1379, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0777, root_relative_squared_error: 0.3357, scimark_benchmark: 895.5332, usercpu_time_millis: 2067100, usercpu_time_millis_testing: 1240, usercpu_time_millis_training: 2065860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9741, kappa: 0.9625, kb_relative_information_score: 434376.9991, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.9749, predictive_accuracy: 0.9739, prior_entropy: 2.3329, recall: 0.9739, relative_absolute_error: 0.0523, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0573, root_relative_squared_error: 0.2474, scimark_benchmark: 939.9176, usercpu_time_millis: 12270, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 12100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6267, f_measure: 0.3442, kb_relative_information_score: 67057.272, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.2598, predictive_accuracy: 0.5097, prior_entropy: 2.3329, recall: 0.5097, relative_absolute_error: 0.9493, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.9744, scimark_benchmark: 930.5999, usercpu_time_millis: 4810, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 4760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6267, f_measure: 0.3442, kb_relative_information_score: 67057.272, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.2598, predictive_accuracy: 0.5097, prior_entropy: 2.3329, recall: 0.5097, relative_absolute_error: 0.9493, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.9744, scimark_benchmark: 932.0242, usercpu_time_millis: 5560, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 5500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6267, f_measure: 0.3442, kb_relative_information_score: 67057.272, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.2598, predictive_accuracy: 0.5097, prior_entropy: 2.3329, recall: 0.5097, relative_absolute_error: 0.9493, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.9744, scimark_benchmark: 1304.9611, usercpu_time_millis: 4070, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 4030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6267, f_measure: 0.3442, kb_relative_information_score: 67057.272, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.2598, predictive_accuracy: 0.5097, prior_entropy: 2.3329, recall: 0.5097, relative_absolute_error: 0.9493, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.9744, scimark_benchmark: 1333.5799, usercpu_time_millis: 3980, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 3930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6267, f_measure: 0.3442, kb_relative_information_score: 67057.272, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.2598, predictive_accuracy: 0.5097, prior_entropy: 2.3329, recall: 0.5097, relative_absolute_error: 0.9493, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.9744, scimark_benchmark: 876.0664, usercpu_time_millis: 6590, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 6530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9717, kappa: 0.9596, kb_relative_information_score: 433613.0819, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.9718, predictive_accuracy: 0.9719, prior_entropy: 2.3329, recall: 0.9719, relative_absolute_error: 0.0573, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0572, root_relative_squared_error: 0.2471, scimark_benchmark: 944.5495, usercpu_time_millis: 352780, usercpu_time_millis_testing: 352760, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9705, kappa: 0.9579, kb_relative_information_score: 433617.4399, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.9706, predictive_accuracy: 0.9707, prior_entropy: 2.3329, recall: 0.9707, relative_absolute_error: 0.0536, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0591, root_relative_squared_error: 0.2553, scimark_benchmark: 916.5955, usercpu_time_millis: 287180, usercpu_time_millis_testing: 287170, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9409, kappa: 0.9164, kb_relative_information_score: 22112.4162, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.942, predictive_accuracy: 0.9422, prior_entropy: 2.3329, recall: 0.9422, relative_absolute_error: 1.2132, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.2479, root_relative_squared_error: 1.0709, scimark_benchmark: 915.9324, usercpu_time_millis: 595650, usercpu_time_millis_testing: 3250, usercpu_time_millis_training: 592400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5298, f_measure: 0.3217, kappa: 0.0577, kb_relative_information_score: 30402.6103, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.3435, predictive_accuracy: 0.3075, prior_entropy: 2.3329, recall: 0.3075, relative_absolute_error: 0.9941, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.3264, root_relative_squared_error: 1.4101, scimark_benchmark: 939.5088, usercpu_time_millis: 474490, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 474290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.8933, kappa: 0.8254, kb_relative_information_score: 388857.5288, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.9272, predictive_accuracy: 0.8714, prior_entropy: 2.3329, recall: 0.8714, relative_absolute_error: 0.1852, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.5973, scimark_benchmark: 1307.4861, usercpu_time_millis: 8330, usercpu_time_millis_testing: 3370, usercpu_time_millis_training: 4960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9945, kappa: 0.992, kb_relative_information_score: 446043.9856, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 2.3329, recall: 0.9945, relative_absolute_error: 0.0205, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.027, root_relative_squared_error: 0.1168, scimark_benchmark: 1304.6687, usercpu_time_millis: 44310, usercpu_time_millis_testing: 1930, usercpu_time_millis_training: 42380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3447, kappa: 0.0007, kb_relative_information_score: 83245.1525, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.4586, predictive_accuracy: 0.5099, prior_entropy: 2.3329, recall: 0.5099, relative_absolute_error: 0.7035, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.2746, root_relative_squared_error: 1.1863, scimark_benchmark: 1368.9272, usercpu_time_millis: 2280860, usercpu_time_millis_testing: 547630, usercpu_time_millis_training: 1733230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9886, kappa: 0.9836, kb_relative_information_score: 442927.2316, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.9886, predictive_accuracy: 0.9886, prior_entropy: 2.3329, recall: 0.9886, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0419, root_relative_squared_error: 0.1809, scimark_benchmark: 1307.4861, usercpu_time_millis: 800, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9903, kappa: 0.9861, kb_relative_information_score: 443865.9185, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 2.3329, recall: 0.9903, relative_absolute_error: 0.0199, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0364, root_relative_squared_error: 0.1573, scimark_benchmark: 1361.1055, usercpu_time_millis: 4240, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 4180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9909, kappa: 0.987, kb_relative_information_score: 444471.7937, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.991, predictive_accuracy: 0.9909, prior_entropy: 2.3329, recall: 0.9909, relative_absolute_error: 0.0165, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0361, root_relative_squared_error: 0.1558, scimark_benchmark: 1327.8711, usercpu_time_millis: 132010, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 131940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9906, kappa: 0.9866, kb_relative_information_score: 444560.6266, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 2.3329, recall: 0.9906, relative_absolute_error: 0.0134, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.038, root_relative_squared_error: 0.164, scimark_benchmark: 1418.5826, usercpu_time_millis: 815080, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 815010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9905, kappa: 0.9864, kb_relative_information_score: 444220.6123, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 2.3329, recall: 0.9905, relative_absolute_error: 0.0147, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0375, root_relative_squared_error: 0.1621, scimark_benchmark: 1339.4189, usercpu_time_millis: 47430, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 47240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.8962, kappa: 0.8521, kb_relative_information_score: 384908.3375, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.1072, number_of_instances: 451640, precision: 0.8958, predictive_accuracy: 0.8972, prior_entropy: 2.3329, recall: 0.8972, relative_absolute_error: 0.1476, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.1258, root_relative_squared_error: 0.5433, scimark_benchmark: 1466.6185, usercpu_time_millis: 1550, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 1420,

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