Task
Supervised Classification on bolts

Supervised Classification on bolts

Task 4426 Supervised Classification bolts 234 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

234 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, f_measure: 0.9291, kappa: 0.8425, kb_relative_information_score: 0.6688, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.4571, weighted_recall: 0.93, number_of_instances: 400, precision: 0.9307, predictive_accuracy: 0.93, prior_entropy: 0.9342, relative_absolute_error: 0.3619, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.5506, scimark_benchmark: 931.1106, unweighted_recall: 0.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.8375, kappa: 0.6512, kb_relative_information_score: 0.6282, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.4571, weighted_recall: 0.835, number_of_instances: 400, precision: 0.8461, predictive_accuracy: 0.835, prior_entropy: 0.9342, relative_absolute_error: 0.3568, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.8354, scimark_benchmark: 979.7764, unweighted_recall: 0.8385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8023, f_measure: 0.9004, kappa: 0.778, kb_relative_information_score: 271.5293, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9041, predictive_accuracy: 0.9025, prior_entropy: 0.9403, recall: 0.9025, relative_absolute_error: 0.3407, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.305, root_relative_squared_error: 0.6393, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9199, kappa: 0.8236, kb_relative_information_score: 302.5128, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9198, predictive_accuracy: 0.92, prior_entropy: 0.9403, recall: 0.92, relative_absolute_error: 0.2593, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.4939, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.9326, kappa: 0.8519, kb_relative_information_score: 330.6038, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9326, predictive_accuracy: 0.9325, prior_entropy: 0.9403, recall: 0.9325, relative_absolute_error: 0.1659, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.5235, scimark_benchmark: 934.3687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 81.3493, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9403, recall: 0.65, relative_absolute_error: 0.7656, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2402, scimark_benchmark: 931.771, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 81.3493, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9403, recall: 0.65, relative_absolute_error: 0.7656, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2402, scimark_benchmark: 944.1067, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 289.9473, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2574, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2705, root_relative_squared_error: 0.567, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 285.6033, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5672, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 285.6033, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5672, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.9086, kappa: 0.7968, kb_relative_information_score: 261.1141, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9105, predictive_accuracy: 0.91, prior_entropy: 0.9403, recall: 0.91, relative_absolute_error: 0.3702, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.5766, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8736, kappa: 0.7197, kb_relative_information_score: 239.9647, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.874, predictive_accuracy: 0.875, prior_entropy: 0.9403, recall: 0.875, relative_absolute_error: 0.4229, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.6323, scimark_benchmark: 932.2692, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.9599, kappa: 0.9115, kb_relative_information_score: 322.8279, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9599, predictive_accuracy: 0.96, prior_entropy: 0.9403, recall: 0.96, relative_absolute_error: 0.2157, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.4263, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 81.3493, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9403, recall: 0.65, relative_absolute_error: 0.7656, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2402, scimark_benchmark: 937.5117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 81.3493, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9403, recall: 0.65, relative_absolute_error: 0.7656, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2402, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, f_measure: 0.9291, kappa: 0.8425, kb_relative_information_score: 265.7883, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9307, predictive_accuracy: 0.93, prior_entropy: 0.9403, recall: 0.93, relative_absolute_error: 0.3619, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.5506, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8023, f_measure: 0.9004, kappa: 0.778, kb_relative_information_score: 271.5293, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9041, predictive_accuracy: 0.9025, prior_entropy: 0.9403, recall: 0.9025, relative_absolute_error: 0.3407, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.305, root_relative_squared_error: 0.6393, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9199, kappa: 0.8236, kb_relative_information_score: 302.5128, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9198, predictive_accuracy: 0.92, prior_entropy: 0.9403, recall: 0.92, relative_absolute_error: 0.2593, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.4939, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.9326, kappa: 0.8519, kb_relative_information_score: 330.6038, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9326, predictive_accuracy: 0.9325, prior_entropy: 0.9403, recall: 0.9325, relative_absolute_error: 0.1659, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.5235, scimark_benchmark: 936.2574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 81.3493, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9403, recall: 0.65, relative_absolute_error: 0.7656, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2402, scimark_benchmark: 926.5462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 289.9473, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2574, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2705, root_relative_squared_error: 0.567, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 285.6033, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5672, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 285.6033, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5672, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.9086, kappa: 0.7968, kb_relative_information_score: 261.1141, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9105, predictive_accuracy: 0.91, prior_entropy: 0.9403, recall: 0.91, relative_absolute_error: 0.3702, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.5766, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8736, kappa: 0.7197, kb_relative_information_score: 239.9647, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.874, predictive_accuracy: 0.875, prior_entropy: 0.9403, recall: 0.875, relative_absolute_error: 0.4229, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.6323, scimark_benchmark: 919.3788, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 285.6033, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5672, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.9599, kappa: 0.9115, kb_relative_information_score: 322.8279, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9599, predictive_accuracy: 0.96, prior_entropy: 0.9403, recall: 0.96, relative_absolute_error: 0.2157, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.4263, scimark_benchmark: 730.6551, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, f_measure: 0.9291, kappa: 0.8425, kb_relative_information_score: 265.7883, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9307, predictive_accuracy: 0.93, prior_entropy: 0.9403, recall: 0.93, relative_absolute_error: 0.3619, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.5506, scimark_benchmark: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9341, kappa: 0.8538, kb_relative_information_score: 282.814, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9359, predictive_accuracy: 0.935, prior_entropy: 0.9403, recall: 0.935, relative_absolute_error: 0.3211, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.4876, scimark_benchmark: 935.5664, usercpu_time_millis: 190, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9292, kappa: 0.843, kb_relative_information_score: 284.2228, mean_absolute_error: 0.1445, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9303, predictive_accuracy: 0.93, prior_entropy: 0.9403, recall: 0.93, relative_absolute_error: 0.3162, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.233, root_relative_squared_error: 0.4885, scimark_benchmark: 934.7923, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9292, kappa: 0.843, kb_relative_information_score: 279.375, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9303, predictive_accuracy: 0.93, prior_entropy: 0.9403, recall: 0.93, relative_absolute_error: 0.3292, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2401, root_relative_squared_error: 0.5033, scimark_benchmark: 921.466, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9317, kappa: 0.8484, kb_relative_information_score: 287.0592, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9331, predictive_accuracy: 0.9325, prior_entropy: 0.9403, recall: 0.9325, relative_absolute_error: 0.3061, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.4964, scimark_benchmark: 944.235, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.9167, kappa: 0.8153, kb_relative_information_score: 278.538, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9174, predictive_accuracy: 0.9175, prior_entropy: 0.9403, recall: 0.9175, relative_absolute_error: 0.3233, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2474, root_relative_squared_error: 0.5186, scimark_benchmark: 920.3788, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.9171, kappa: 0.8172, kb_relative_information_score: 318.584, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9171, predictive_accuracy: 0.9175, prior_entropy: 0.9403, recall: 0.9175, relative_absolute_error: 0.1923, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.5819, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.9171, kappa: 0.8172, kb_relative_information_score: 318.584, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9171, predictive_accuracy: 0.9175, prior_entropy: 0.9403, recall: 0.9175, relative_absolute_error: 0.1923, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.5819, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.9171, kappa: 0.8172, kb_relative_information_score: 318.584, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9171, predictive_accuracy: 0.9175, prior_entropy: 0.9403, recall: 0.9175, relative_absolute_error: 0.1923, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.5819, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.9171, kappa: 0.8172, kb_relative_information_score: 318.1769, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9171, predictive_accuracy: 0.9175, prior_entropy: 0.9403, recall: 0.9175, relative_absolute_error: 0.1936, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2778, root_relative_squared_error: 0.5823, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.912, kappa: 0.8054, kb_relative_information_score: 313.2924, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.912, predictive_accuracy: 0.9125, prior_entropy: 0.9403, recall: 0.9125, relative_absolute_error: 0.2062, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2813, root_relative_squared_error: 0.5896, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3681, f_measure: 0.5121, kb_relative_information_score: -5.7243, mean_absolute_error: 0.4605, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9403, recall: 0.65, relative_absolute_error: 1.0074, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4805, root_relative_squared_error: 1.0073, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.9377, kappa: 0.8638, kb_relative_information_score: 340.9818, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9383, predictive_accuracy: 0.9375, prior_entropy: 0.9403, recall: 0.9375, relative_absolute_error: 0.1367, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.25, root_relative_squared_error: 0.5241, scimark_benchmark: 938.3115, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.9377, kappa: 0.8638, kb_relative_information_score: 340.9972, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9383, predictive_accuracy: 0.9375, prior_entropy: 0.9403, recall: 0.9375, relative_absolute_error: 0.1367, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.5239, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.9301, kappa: 0.8467, kb_relative_information_score: 331.7639, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9303, predictive_accuracy: 0.93, prior_entropy: 0.9403, recall: 0.93, relative_absolute_error: 0.1599, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2646, root_relative_squared_error: 0.5548, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.9245, kappa: 0.833, kb_relative_information_score: 329.6147, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9248, predictive_accuracy: 0.925, prior_entropy: 0.9403, recall: 0.925, relative_absolute_error: 0.1645, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.5551, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.9265, kappa: 0.8366, kb_relative_information_score: 329.487, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9284, predictive_accuracy: 0.9275, prior_entropy: 0.9403, recall: 0.9275, relative_absolute_error: 0.1655, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.5546, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 81.3493, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9403, recall: 0.65, relative_absolute_error: 0.7656, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2402, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.8802, kappa: 0.7371, kb_relative_information_score: 281.235, mean_absolute_error: 0.1324, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8804, predictive_accuracy: 0.88, prior_entropy: 0.9403, recall: 0.88, relative_absolute_error: 0.2895, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.7145, scimark_benchmark: 906.0884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.9266, kappa: 0.8372, kb_relative_information_score: 236.2165, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.928, predictive_accuracy: 0.9275, prior_entropy: 0.9403, recall: 0.9275, relative_absolute_error: 0.4563, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.276, root_relative_squared_error: 0.5787, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8573, f_measure: 0.8015, kappa: 0.5557, kb_relative_information_score: 106.4159, mean_absolute_error: 0.3522, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8051, predictive_accuracy: 0.8075, prior_entropy: 0.9403, recall: 0.8075, relative_absolute_error: 0.7704, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.8282, scimark_benchmark: 933.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8023, f_measure: 0.9004, kappa: 0.778, kb_relative_information_score: 271.5293, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9041, predictive_accuracy: 0.9025, prior_entropy: 0.9403, recall: 0.9025, relative_absolute_error: 0.3407, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.305, root_relative_squared_error: 0.6393, scimark_benchmark: 934.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9199, kappa: 0.8236, kb_relative_information_score: 302.5128, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9198, predictive_accuracy: 0.92, prior_entropy: 0.9403, recall: 0.92, relative_absolute_error: 0.2593, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.4939, scimark_benchmark: 906.0994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.9326, kappa: 0.8519, kb_relative_information_score: 330.6038, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9326, predictive_accuracy: 0.9325, prior_entropy: 0.9403, recall: 0.9325, relative_absolute_error: 0.1659, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.5235, scimark_benchmark: 845.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 81.3493, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9403, recall: 0.65, relative_absolute_error: 0.7656, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2402, scimark_benchmark: 939.3886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 81.3493, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9403, recall: 0.65, relative_absolute_error: 0.7656, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2402, scimark_benchmark: 944.5341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 285.6033, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5672, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 285.6033, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5672, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.9086, kappa: 0.7968, kb_relative_information_score: 261.1141, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9105, predictive_accuracy: 0.91, prior_entropy: 0.9403, recall: 0.91, relative_absolute_error: 0.3702, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.5766, scimark_benchmark: 946.9304, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8736, kappa: 0.7197, kb_relative_information_score: 239.9647, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.874, predictive_accuracy: 0.875, prior_entropy: 0.9403, recall: 0.875, relative_absolute_error: 0.4229, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.6323, scimark_benchmark: 890.5596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 285.6033, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5672, scimark_benchmark: 890.5596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.9599, kappa: 0.9115, kb_relative_information_score: 322.8279, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9599, predictive_accuracy: 0.96, prior_entropy: 0.9403, recall: 0.96, relative_absolute_error: 0.2157, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.4263, scimark_benchmark: 910.6607, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, f_measure: 0.9291, kappa: 0.8425, kb_relative_information_score: 265.7883, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9307, predictive_accuracy: 0.93, prior_entropy: 0.9403, recall: 0.93, relative_absolute_error: 0.3619, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.5506, scimark_benchmark: 946.9304, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8023, f_measure: 0.9004, kappa: 0.778, kb_relative_information_score: 271.5293, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9041, predictive_accuracy: 0.9025, prior_entropy: 0.9403, recall: 0.9025, relative_absolute_error: 0.3407, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.305, root_relative_squared_error: 0.6393, scimark_benchmark: 945.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9199, kappa: 0.8236, kb_relative_information_score: 302.5128, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9198, predictive_accuracy: 0.92, prior_entropy: 0.9403, recall: 0.92, relative_absolute_error: 0.2593, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.4939, scimark_benchmark: 932.1893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 81.3493, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9403, recall: 0.65, relative_absolute_error: 0.7656, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2402, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 81.3493, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9403, recall: 0.65, relative_absolute_error: 0.7656, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2402, scimark_benchmark: 1314.9949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.9086, kappa: 0.7968, kb_relative_information_score: 261.1141, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9105, predictive_accuracy: 0.91, prior_entropy: 0.9403, recall: 0.91, relative_absolute_error: 0.3702, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.5766, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 285.6033, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5672, scimark_benchmark: 1322.5413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 285.6033, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5672, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 285.6033, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5672, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 285.6033, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5672, scimark_benchmark: 1340.9446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9199, kappa: 0.8236, kb_relative_information_score: 302.5128, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9198, predictive_accuracy: 0.92, prior_entropy: 0.9403, recall: 0.92, relative_absolute_error: 0.2593, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.4939, scimark_benchmark: 1357.1971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 285.6033, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5672, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 285.6033, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5672, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 285.6033, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5672, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 285.6033, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5672, scimark_benchmark: 1286.2211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 289.9473, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2574, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2705, root_relative_squared_error: 0.567, scimark_benchmark: 1375.1578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 285.6033, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5672, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 289.9473, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2574, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2705, root_relative_squared_error: 0.567, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 285.6033, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5672, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 285.6033, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5672, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 285.6033, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5672, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8023, f_measure: 0.9004, kappa: 0.778, kb_relative_information_score: 271.5293, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9041, predictive_accuracy: 0.9025, prior_entropy: 0.9403, recall: 0.9025, relative_absolute_error: 0.3407, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.305, root_relative_squared_error: 0.6393, scimark_benchmark: 1336.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 289.9473, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2574, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2705, root_relative_squared_error: 0.567, scimark_benchmark: 1329.8008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 285.6033, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5672, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 285.6033, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5672, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 285.6033, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5672, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8736, kappa: 0.7197, kb_relative_information_score: 239.9647, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.874, predictive_accuracy: 0.875, prior_entropy: 0.9403, recall: 0.875, relative_absolute_error: 0.4229, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.6323, scimark_benchmark: 1322.3407, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 285.6033, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5672, scimark_benchmark: 1331.4379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 81.3493, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9403, recall: 0.65, relative_absolute_error: 0.7656, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2402, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 285.6033, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5672, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 285.6033, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5672, scimark_benchmark: 1346.4374, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 285.6033, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5672, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.9086, kappa: 0.7968, kb_relative_information_score: 261.1141, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9105, predictive_accuracy: 0.91, prior_entropy: 0.9403, recall: 0.91, relative_absolute_error: 0.3702, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.5766, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8548, kappa: 0.6803, kb_relative_information_score: 285.6033, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 0.9403, recall: 0.855, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5672, scimark_benchmark: 1335.3312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.9599, kappa: 0.9115, kb_relative_information_score: 322.8279, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9599, predictive_accuracy: 0.96, prior_entropy: 0.9403, recall: 0.96, relative_absolute_error: 0.2157, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.4263, scimark_benchmark: 1320.8283, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, f_measure: 0.9291, kappa: 0.8425, kb_relative_information_score: 265.7883, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9307, predictive_accuracy: 0.93, prior_entropy: 0.9403, recall: 0.93, relative_absolute_error: 0.3619, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.5506, scimark_benchmark: 1310.6554, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.8684, kappa: 0.713, kb_relative_information_score: 266.6623, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8702, predictive_accuracy: 0.8675, prior_entropy: 0.9403, recall: 0.8675, relative_absolute_error: 0.3217, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.7261, scimark_benchmark: 1320.2063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9199, kappa: 0.8236, kb_relative_information_score: 302.5128, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9198, predictive_accuracy: 0.92, prior_entropy: 0.9403, recall: 0.92, relative_absolute_error: 0.2593, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.4939, scimark_benchmark: 1320.1171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.8802, kappa: 0.7371, kb_relative_information_score: 281.235, mean_absolute_error: 0.1324, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.8804, predictive_accuracy: 0.88, prior_entropy: 0.9403, recall: 0.88, relative_absolute_error: 0.2895, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.7145, scimark_benchmark: 1321.4771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.9326, kappa: 0.8519, kb_relative_information_score: 331.9467, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9326, predictive_accuracy: 0.9325, prior_entropy: 0.9403, recall: 0.9325, relative_absolute_error: 0.162, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2456, root_relative_squared_error: 0.5148, scimark_benchmark: 1346.0226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.9168, kappa: 0.816, kb_relative_information_score: 261.7884, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.4571, number_of_instances: 400, precision: 0.9172, predictive_accuracy: 0.9175, prior_entropy: 0.9403, recall: 0.9175, relative_absolute_error: 0.3694, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.2775, root_relative_squared_error: 0.5817, scimark_benchmark: 1337.1928,

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