OpenML
Supervised Classification on analcatdata_asbestos

Supervised Classification on analcatdata_asbestos

Task 4255 Supervised Classification analcatdata_asbestos 209 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

209 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, f_measure: 0.7788, kappa: 0.5513, kb_relative_information_score: 0.4922, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.4943, weighted_recall: 0.7795, number_of_instances: 830, precision: 0.779, predictive_accuracy: 0.7795, prior_entropy: 0.9915, relative_absolute_error: 0.5228, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.8339, scimark_benchmark: 931.1106, unweighted_recall: 0.7741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.7921, kappa: 0.5816, kb_relative_information_score: 0.4304, mean_absolute_error: 0.2961, mean_prior_absolute_error: 0.4943, weighted_recall: 0.7916, number_of_instances: 830, precision: 0.7949, predictive_accuracy: 0.7916, prior_entropy: 0.9915, relative_absolute_error: 0.5992, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.7954, scimark_benchmark: 979.7764, unweighted_recall: 0.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7475, f_measure: 0.7525, kappa: 0.5019, kb_relative_information_score: 292.0741, mean_absolute_error: 0.3343, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.7554, predictive_accuracy: 0.7518, prior_entropy: 0.9919, recall: 0.7518, relative_absolute_error: 0.6763, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.8721, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.7381, kappa: 0.4746, kb_relative_information_score: 252.7916, mean_absolute_error: 0.3558, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.743, predictive_accuracy: 0.7373, prior_entropy: 0.9919, recall: 0.7373, relative_absolute_error: 0.7199, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4421, root_relative_squared_error: 0.8894, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.7653, kappa: 0.5254, kb_relative_information_score: 349.6333, mean_absolute_error: 0.2958, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.7656, predictive_accuracy: 0.7651, prior_entropy: 0.9919, recall: 0.7651, relative_absolute_error: 0.5985, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8764, scimark_benchmark: 934.3687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.7754, kappa: 0.5499, kb_relative_information_score: 356.8308, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.7814, predictive_accuracy: 0.7747, prior_entropy: 0.9919, recall: 0.7747, relative_absolute_error: 0.593, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.8425, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7496, kappa: 0.4939, kb_relative_information_score: 299.9762, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.75, predictive_accuracy: 0.7494, prior_entropy: 0.9919, recall: 0.7494, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8683, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7496, kappa: 0.4939, kb_relative_information_score: 299.9762, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.75, predictive_accuracy: 0.7494, prior_entropy: 0.9919, recall: 0.7494, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8683, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.7679, kappa: 0.5313, kb_relative_information_score: 316.367, mean_absolute_error: 0.3211, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.7687, predictive_accuracy: 0.7675, prior_entropy: 0.9919, recall: 0.7675, relative_absolute_error: 0.6496, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8264, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.7897, kappa: 0.5768, kb_relative_information_score: 344.7525, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.7925, predictive_accuracy: 0.7892, prior_entropy: 0.9919, recall: 0.7892, relative_absolute_error: 0.6156, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.8, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6925, f_measure: 0.7001, kappa: 0.3918, kb_relative_information_score: 331.6525, mean_absolute_error: 0.2952, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.705, predictive_accuracy: 0.7048, prior_entropy: 0.9919, recall: 0.7048, relative_absolute_error: 0.5972, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.5433, root_relative_squared_error: 1.0931, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, f_measure: 0.7788, kappa: 0.5513, kb_relative_information_score: 408.3565, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.779, predictive_accuracy: 0.7795, prior_entropy: 0.9919, recall: 0.7795, relative_absolute_error: 0.5228, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.8339, scimark_benchmark: 943.1009, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7475, f_measure: 0.7525, kappa: 0.5019, kb_relative_information_score: 292.0741, mean_absolute_error: 0.3343, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.7554, predictive_accuracy: 0.7518, prior_entropy: 0.9919, recall: 0.7518, relative_absolute_error: 0.6763, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.8721, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7801, f_measure: 0.7753, kappa: 0.5513, kb_relative_information_score: 449.5512, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.7842, predictive_accuracy: 0.7747, prior_entropy: 0.9919, recall: 0.7747, relative_absolute_error: 0.4558, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4747, root_relative_squared_error: 0.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.7381, kappa: 0.4746, kb_relative_information_score: 252.7916, mean_absolute_error: 0.3558, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.743, predictive_accuracy: 0.7373, prior_entropy: 0.9919, recall: 0.7373, relative_absolute_error: 0.7199, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4421, root_relative_squared_error: 0.8894, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.7653, kappa: 0.5254, kb_relative_information_score: 349.6333, mean_absolute_error: 0.2958, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.7656, predictive_accuracy: 0.7651, prior_entropy: 0.9919, recall: 0.7651, relative_absolute_error: 0.5985, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8764, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6925, f_measure: 0.7001, kappa: 0.3918, kb_relative_information_score: 331.6525, mean_absolute_error: 0.2952, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.705, predictive_accuracy: 0.7048, prior_entropy: 0.9919, recall: 0.7048, relative_absolute_error: 0.5972, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.5433, root_relative_squared_error: 1.0931, scimark_benchmark: 927.2882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6925, f_measure: 0.7001, kappa: 0.3918, kb_relative_information_score: 331.6525, mean_absolute_error: 0.2952, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.705, predictive_accuracy: 0.7048, prior_entropy: 0.9919, recall: 0.7048, relative_absolute_error: 0.5972, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.5433, root_relative_squared_error: 1.0931, scimark_benchmark: 906.0979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.7754, kappa: 0.5499, kb_relative_information_score: 356.8308, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.7814, predictive_accuracy: 0.7747, prior_entropy: 0.9919, recall: 0.7747, relative_absolute_error: 0.593, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.8425, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7496, kappa: 0.4939, kb_relative_information_score: 299.9762, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.75, predictive_accuracy: 0.7494, prior_entropy: 0.9919, recall: 0.7494, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8683, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7496, kappa: 0.4939, kb_relative_information_score: 299.9762, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.75, predictive_accuracy: 0.7494, prior_entropy: 0.9919, recall: 0.7494, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8683, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.7679, kappa: 0.5313, kb_relative_information_score: 316.367, mean_absolute_error: 0.3211, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.7687, predictive_accuracy: 0.7675, prior_entropy: 0.9919, recall: 0.7675, relative_absolute_error: 0.6496, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8264, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7496, kappa: 0.4939, kb_relative_information_score: 299.9762, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.75, predictive_accuracy: 0.7494, prior_entropy: 0.9919, recall: 0.7494, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8683, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, f_measure: 0.7788, kappa: 0.5513, kb_relative_information_score: 408.3565, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.779, predictive_accuracy: 0.7795, prior_entropy: 0.9919, recall: 0.7795, relative_absolute_error: 0.5228, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.8339, scimark_benchmark: 936.3213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.7474, kappa: 0.4898, kb_relative_information_score: 318.1013, mean_absolute_error: 0.3193, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.7482, predictive_accuracy: 0.747, prior_entropy: 0.9919, recall: 0.747, relative_absolute_error: 0.646, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8349, scimark_benchmark: 938.988, usercpu_time_millis: 140, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, f_measure: 0.7499, kappa: 0.4952, kb_relative_information_score: 317.1787, mean_absolute_error: 0.3198, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.7511, predictive_accuracy: 0.7494, prior_entropy: 0.9919, recall: 0.7494, relative_absolute_error: 0.647, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8375, scimark_benchmark: 938.1282, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, f_measure: 0.7475, kappa: 0.4904, kb_relative_information_score: 318.2523, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.7487, predictive_accuracy: 0.747, prior_entropy: 0.9919, recall: 0.747, relative_absolute_error: 0.6451, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.8371, scimark_benchmark: 938.8535, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.751, kappa: 0.497, kb_relative_information_score: 319.9663, mean_absolute_error: 0.3182, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.7517, predictive_accuracy: 0.7506, prior_entropy: 0.9919, recall: 0.7506, relative_absolute_error: 0.6439, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4139, root_relative_squared_error: 0.8328, scimark_benchmark: 906.8974, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.7546, kappa: 0.5042, kb_relative_information_score: 319.945, mean_absolute_error: 0.3189, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.7552, predictive_accuracy: 0.7542, prior_entropy: 0.9919, recall: 0.7542, relative_absolute_error: 0.6452, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4157, root_relative_squared_error: 0.8362, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7744, f_measure: 0.7399, kappa: 0.485, kb_relative_information_score: 304.3051, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.7561, predictive_accuracy: 0.7398, prior_entropy: 0.9919, recall: 0.7398, relative_absolute_error: 0.6526, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4351, root_relative_squared_error: 0.8754, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7744, f_measure: 0.7399, kappa: 0.485, kb_relative_information_score: 304.3051, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.7561, predictive_accuracy: 0.7398, prior_entropy: 0.9919, recall: 0.7398, relative_absolute_error: 0.6526, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4351, root_relative_squared_error: 0.8754, scimark_benchmark: 889.4922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7744, f_measure: 0.7399, kappa: 0.485, kb_relative_information_score: 304.3051, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.7561, predictive_accuracy: 0.7398, prior_entropy: 0.9919, recall: 0.7398, relative_absolute_error: 0.6526, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4351, root_relative_squared_error: 0.8754, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7744, f_measure: 0.7399, kappa: 0.485, kb_relative_information_score: 304.3051, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.7561, predictive_accuracy: 0.7398, prior_entropy: 0.9919, recall: 0.7398, relative_absolute_error: 0.6526, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4351, root_relative_squared_error: 0.8754, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7744, f_measure: 0.7399, kappa: 0.485, kb_relative_information_score: 304.3051, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.7561, predictive_accuracy: 0.7398, prior_entropy: 0.9919, recall: 0.7398, relative_absolute_error: 0.6526, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4351, root_relative_squared_error: 0.8754, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4445, f_measure: 0.3953, kb_relative_information_score: -1.4794, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.3072, predictive_accuracy: 0.5542, prior_entropy: 0.9919, recall: 0.5542, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0011, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.7718, kappa: 0.5423, kb_relative_information_score: 438.8661, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.7772, predictive_accuracy: 0.7711, prior_entropy: 0.9919, recall: 0.7711, relative_absolute_error: 0.4696, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.9003, scimark_benchmark: 938.3115, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.7802, kappa: 0.559, kb_relative_information_score: 440.7541, mean_absolute_error: 0.2327, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.7854, predictive_accuracy: 0.7795, prior_entropy: 0.9919, recall: 0.7795, relative_absolute_error: 0.4707, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.883, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.7549, kappa: 0.5104, kb_relative_information_score: 416.3146, mean_absolute_error: 0.2454, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.7634, predictive_accuracy: 0.7542, prior_entropy: 0.9919, recall: 0.7542, relative_absolute_error: 0.4965, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4576, root_relative_squared_error: 0.9207, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.7585, kappa: 0.5162, kb_relative_information_score: 411.658, mean_absolute_error: 0.2496, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.7645, predictive_accuracy: 0.7578, prior_entropy: 0.9919, recall: 0.7578, relative_absolute_error: 0.5051, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.9003, scimark_benchmark: 940.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8113, f_measure: 0.7522, kappa: 0.5073, kb_relative_information_score: 402.6999, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.7647, predictive_accuracy: 0.7518, prior_entropy: 0.9919, recall: 0.7518, relative_absolute_error: 0.515, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9213, scimark_benchmark: 940.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3953, kb_relative_information_score: 77.5606, mean_absolute_error: 0.4458, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.3072, predictive_accuracy: 0.5542, prior_entropy: 0.9919, recall: 0.5542, relative_absolute_error: 0.9019, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.6677, root_relative_squared_error: 1.3433, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7332, f_measure: 0.7301, kappa: 0.4538, kb_relative_information_score: 306.6608, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.7301, predictive_accuracy: 0.7301, prior_entropy: 0.9919, recall: 0.7301, relative_absolute_error: 0.6534, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9132, scimark_benchmark: 942.6192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8192, f_measure: 0.7847, kappa: 0.5655, kb_relative_information_score: 151.071, mean_absolute_error: 0.4235, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.7858, predictive_accuracy: 0.7843, prior_entropy: 0.9919, recall: 0.7843, relative_absolute_error: 0.8568, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8804, scimark_benchmark: 906.0884, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.822, f_measure: 0.7633, kappa: 0.5243, kb_relative_information_score: 269.2577, mean_absolute_error: 0.3498, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.767, predictive_accuracy: 0.7627, prior_entropy: 0.9919, recall: 0.7627, relative_absolute_error: 0.7077, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.8339, scimark_benchmark: 943.4741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7475, f_measure: 0.7525, kappa: 0.5019, kb_relative_information_score: 292.0741, mean_absolute_error: 0.3343, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.7554, predictive_accuracy: 0.7518, prior_entropy: 0.9919, recall: 0.7518, relative_absolute_error: 0.6763, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.8721, scimark_benchmark: 899.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.7381, kappa: 0.4746, kb_relative_information_score: 252.7916, mean_absolute_error: 0.3558, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.743, predictive_accuracy: 0.7373, prior_entropy: 0.9919, recall: 0.7373, relative_absolute_error: 0.7199, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4421, root_relative_squared_error: 0.8894, scimark_benchmark: 933.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.7653, kappa: 0.5254, kb_relative_information_score: 349.6333, mean_absolute_error: 0.2958, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.7656, predictive_accuracy: 0.7651, prior_entropy: 0.9919, recall: 0.7651, relative_absolute_error: 0.5985, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8764, scimark_benchmark: 907.1091, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6925, f_measure: 0.7001, kappa: 0.3918, kb_relative_information_score: 331.6525, mean_absolute_error: 0.2952, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.705, predictive_accuracy: 0.7048, prior_entropy: 0.9919, recall: 0.7048, relative_absolute_error: 0.5972, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.5433, root_relative_squared_error: 1.0931, scimark_benchmark: 945.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6925, f_measure: 0.7001, kappa: 0.3918, kb_relative_information_score: 331.6525, mean_absolute_error: 0.2952, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.705, predictive_accuracy: 0.7048, prior_entropy: 0.9919, recall: 0.7048, relative_absolute_error: 0.5972, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.5433, root_relative_squared_error: 1.0931, scimark_benchmark: 939.3886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.7754, kappa: 0.5499, kb_relative_information_score: 356.8308, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.7814, predictive_accuracy: 0.7747, prior_entropy: 0.9919, recall: 0.7747, relative_absolute_error: 0.593, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.8425, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7496, kappa: 0.4939, kb_relative_information_score: 299.9762, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.75, predictive_accuracy: 0.7494, prior_entropy: 0.9919, recall: 0.7494, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8683, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7496, kappa: 0.4939, kb_relative_information_score: 299.9762, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.75, predictive_accuracy: 0.7494, prior_entropy: 0.9919, recall: 0.7494, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8683, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7496, kappa: 0.4939, kb_relative_information_score: 299.9762, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.75, predictive_accuracy: 0.7494, prior_entropy: 0.9919, recall: 0.7494, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8683, scimark_benchmark: 946.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.7679, kappa: 0.5313, kb_relative_information_score: 316.367, mean_absolute_error: 0.3211, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.7687, predictive_accuracy: 0.7675, prior_entropy: 0.9919, recall: 0.7675, relative_absolute_error: 0.6496, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8264, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.7897, kappa: 0.5768, kb_relative_information_score: 344.7525, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.7925, predictive_accuracy: 0.7892, prior_entropy: 0.9919, recall: 0.7892, relative_absolute_error: 0.6156, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.8, scimark_benchmark: 915.9028, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7496, kappa: 0.4939, kb_relative_information_score: 299.9762, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.75, predictive_accuracy: 0.7494, prior_entropy: 0.9919, recall: 0.7494, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8683, scimark_benchmark: 942.3809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.7501, kappa: 0.4987, kb_relative_information_score: 324.3839, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.7551, predictive_accuracy: 0.7494, prior_entropy: 0.9919, recall: 0.7494, relative_absolute_error: 0.6312, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.8618, scimark_benchmark: 942.3809, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, f_measure: 0.7788, kappa: 0.5513, kb_relative_information_score: 408.3565, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.779, predictive_accuracy: 0.7795, prior_entropy: 0.9919, recall: 0.7795, relative_absolute_error: 0.5228, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.8339, scimark_benchmark: 879.4299, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7475, f_measure: 0.7525, kappa: 0.5019, kb_relative_information_score: 292.0741, mean_absolute_error: 0.3343, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.7554, predictive_accuracy: 0.7518, prior_entropy: 0.9919, recall: 0.7518, relative_absolute_error: 0.6763, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.8721, scimark_benchmark: 915.9028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.7381, kappa: 0.4746, kb_relative_information_score: 252.7916, mean_absolute_error: 0.3558, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.743, predictive_accuracy: 0.7373, prior_entropy: 0.9919, recall: 0.7373, relative_absolute_error: 0.7199, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4421, root_relative_squared_error: 0.8894, scimark_benchmark: 879.5277, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6925, f_measure: 0.7001, kappa: 0.3918, kb_relative_information_score: 331.6525, mean_absolute_error: 0.2952, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.705, predictive_accuracy: 0.7048, prior_entropy: 0.9919, recall: 0.7048, relative_absolute_error: 0.5972, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.5433, root_relative_squared_error: 1.0931, scimark_benchmark: 1295.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6925, f_measure: 0.7001, kappa: 0.3918, kb_relative_information_score: 331.6525, mean_absolute_error: 0.2952, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.705, predictive_accuracy: 0.7048, prior_entropy: 0.9919, recall: 0.7048, relative_absolute_error: 0.5972, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.5433, root_relative_squared_error: 1.0931, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7496, kappa: 0.4939, kb_relative_information_score: 299.9762, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.75, predictive_accuracy: 0.7494, prior_entropy: 0.9919, recall: 0.7494, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8683, scimark_benchmark: 1292.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7496, kappa: 0.4939, kb_relative_information_score: 299.9762, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.75, predictive_accuracy: 0.7494, prior_entropy: 0.9919, recall: 0.7494, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8683, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7496, kappa: 0.4939, kb_relative_information_score: 299.9762, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.75, predictive_accuracy: 0.7494, prior_entropy: 0.9919, recall: 0.7494, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8683, scimark_benchmark: 1353.0836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7496, kappa: 0.4939, kb_relative_information_score: 299.9762, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.75, predictive_accuracy: 0.7494, prior_entropy: 0.9919, recall: 0.7494, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8683, scimark_benchmark: 1325.7874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7496, kappa: 0.4939, kb_relative_information_score: 299.9762, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.75, predictive_accuracy: 0.7494, prior_entropy: 0.9919, recall: 0.7494, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8683, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7496, kappa: 0.4939, kb_relative_information_score: 299.9762, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.75, predictive_accuracy: 0.7494, prior_entropy: 0.9919, recall: 0.7494, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8683, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7496, kappa: 0.4939, kb_relative_information_score: 299.9762, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.75, predictive_accuracy: 0.7494, prior_entropy: 0.9919, recall: 0.7494, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8683, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, f_measure: 0.7788, kappa: 0.5513, kb_relative_information_score: 408.3565, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.779, predictive_accuracy: 0.7795, prior_entropy: 0.9919, recall: 0.7795, relative_absolute_error: 0.5228, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.8339, scimark_benchmark: 1336.0954, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7496, kappa: 0.4939, kb_relative_information_score: 299.9762, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.75, predictive_accuracy: 0.7494, prior_entropy: 0.9919, recall: 0.7494, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8683, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7496, kappa: 0.4939, kb_relative_information_score: 299.9762, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.75, predictive_accuracy: 0.7494, prior_entropy: 0.9919, recall: 0.7494, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8683, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7496, kappa: 0.4939, kb_relative_information_score: 299.9762, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.75, predictive_accuracy: 0.7494, prior_entropy: 0.9919, recall: 0.7494, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8683, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, f_measure: 0.7788, kappa: 0.5513, kb_relative_information_score: 408.3565, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.779, predictive_accuracy: 0.7795, prior_entropy: 0.9919, recall: 0.7795, relative_absolute_error: 0.5228, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.8339, scimark_benchmark: 1342.6744, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.7754, kappa: 0.5499, kb_relative_information_score: 356.8308, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.7814, predictive_accuracy: 0.7747, prior_entropy: 0.9919, recall: 0.7747, relative_absolute_error: 0.593, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.8425, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7496, kappa: 0.4939, kb_relative_information_score: 299.9762, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.75, predictive_accuracy: 0.7494, prior_entropy: 0.9919, recall: 0.7494, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8683, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.7695, kappa: 0.5329, kb_relative_information_score: 332.0965, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.7694, predictive_accuracy: 0.7699, prior_entropy: 0.9919, recall: 0.7699, relative_absolute_error: 0.6295, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8114, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.7381, kappa: 0.4746, kb_relative_information_score: 252.7916, mean_absolute_error: 0.3558, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.743, predictive_accuracy: 0.7373, prior_entropy: 0.9919, recall: 0.7373, relative_absolute_error: 0.7199, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4421, root_relative_squared_error: 0.8894, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6925, f_measure: 0.7001, kappa: 0.3918, kb_relative_information_score: 331.6525, mean_absolute_error: 0.2952, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.705, predictive_accuracy: 0.7048, prior_entropy: 0.9919, recall: 0.7048, relative_absolute_error: 0.5972, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.5433, root_relative_squared_error: 1.0931, scimark_benchmark: 1316.5668, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7496, kappa: 0.4939, kb_relative_information_score: 299.9762, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.75, predictive_accuracy: 0.7494, prior_entropy: 0.9919, recall: 0.7494, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8683, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.7897, kappa: 0.5768, kb_relative_information_score: 344.7525, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.7925, predictive_accuracy: 0.7892, prior_entropy: 0.9919, recall: 0.7892, relative_absolute_error: 0.6156, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.8, scimark_benchmark: 1309.2287, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7496, kappa: 0.4939, kb_relative_information_score: 299.9762, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.75, predictive_accuracy: 0.7494, prior_entropy: 0.9919, recall: 0.7494, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8683, scimark_benchmark: 1331.4379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, f_measure: 0.7788, kappa: 0.5513, kb_relative_information_score: 408.3565, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.779, predictive_accuracy: 0.7795, prior_entropy: 0.9919, recall: 0.7795, relative_absolute_error: 0.5228, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.8339, scimark_benchmark: 1339.2472, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6925, f_measure: 0.7001, kappa: 0.3918, kb_relative_information_score: 331.6525, mean_absolute_error: 0.2952, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.705, predictive_accuracy: 0.7048, prior_entropy: 0.9919, recall: 0.7048, relative_absolute_error: 0.5972, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.5433, root_relative_squared_error: 1.0931, scimark_benchmark: 1334.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.7754, kappa: 0.5499, kb_relative_information_score: 356.8308, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.7814, predictive_accuracy: 0.7747, prior_entropy: 0.9919, recall: 0.7747, relative_absolute_error: 0.593, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.8425, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7496, kappa: 0.4939, kb_relative_information_score: 299.9762, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.75, predictive_accuracy: 0.7494, prior_entropy: 0.9919, recall: 0.7494, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8683, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7496, kappa: 0.4939, kb_relative_information_score: 299.9762, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.75, predictive_accuracy: 0.7494, prior_entropy: 0.9919, recall: 0.7494, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8683, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.7679, kappa: 0.5313, kb_relative_information_score: 316.367, mean_absolute_error: 0.3211, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.7687, predictive_accuracy: 0.7675, prior_entropy: 0.9919, recall: 0.7675, relative_absolute_error: 0.6496, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8264, scimark_benchmark: 1326.2019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7496, kappa: 0.4939, kb_relative_information_score: 299.9762, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.75, predictive_accuracy: 0.7494, prior_entropy: 0.9919, recall: 0.7494, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8683, scimark_benchmark: 1326.2019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.7501, kappa: 0.4987, kb_relative_information_score: 324.3839, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.7551, predictive_accuracy: 0.7494, prior_entropy: 0.9919, recall: 0.7494, relative_absolute_error: 0.6312, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.8618, scimark_benchmark: 1330.9181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, f_measure: 0.7788, kappa: 0.5513, kb_relative_information_score: 408.3565, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.779, predictive_accuracy: 0.7795, prior_entropy: 0.9919, recall: 0.7795, relative_absolute_error: 0.5228, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.8339, scimark_benchmark: 1323.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7599, f_measure: 0.6842, kappa: 0.3594, kb_relative_information_score: 259.7358, mean_absolute_error: 0.3486, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.6841, predictive_accuracy: 0.6855, prior_entropy: 0.9919, recall: 0.6855, relative_absolute_error: 0.7053, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9149, scimark_benchmark: 1339.3082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.7653, kappa: 0.5254, kb_relative_information_score: 349.6333, mean_absolute_error: 0.2958, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.7656, predictive_accuracy: 0.7651, prior_entropy: 0.9919, recall: 0.7651, relative_absolute_error: 0.5985, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8764, scimark_benchmark: 1344.0499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, f_measure: 0.7609, kappa: 0.5217, kb_relative_information_score: 318.2749, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.7683, predictive_accuracy: 0.7602, prior_entropy: 0.9919, recall: 0.7602, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8264, scimark_benchmark: 1324.5762, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.7754, kappa: 0.5499, kb_relative_information_score: 356.8308, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.7814, predictive_accuracy: 0.7747, prior_entropy: 0.9919, recall: 0.7747, relative_absolute_error: 0.593, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.8425, scimark_benchmark: 1314.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7496, kappa: 0.4939, kb_relative_information_score: 299.9762, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.75, predictive_accuracy: 0.7494, prior_entropy: 0.9919, recall: 0.7494, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8683, scimark_benchmark: 1390.8284, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.7897, kappa: 0.5768, kb_relative_information_score: 344.7525, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.7925, predictive_accuracy: 0.7892, prior_entropy: 0.9919, recall: 0.7892, relative_absolute_error: 0.6156, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.8, scimark_benchmark: 1325.6322, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.7381, kappa: 0.4746, kb_relative_information_score: 252.7916, mean_absolute_error: 0.3558, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.743, predictive_accuracy: 0.7373, prior_entropy: 0.9919, recall: 0.7373, relative_absolute_error: 0.7199, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4421, root_relative_squared_error: 0.8894, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7496, kappa: 0.4939, kb_relative_information_score: 299.9762, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.75, predictive_accuracy: 0.7494, prior_entropy: 0.9919, recall: 0.7494, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8683, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.7501, kappa: 0.4987, kb_relative_information_score: 324.3839, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4943, number_of_instances: 830, precision: 0.7551, predictive_accuracy: 0.7494, prior_entropy: 0.9919, recall: 0.7494, relative_absolute_error: 0.6312, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.8618, scimark_benchmark: 1350.1007, 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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs