Task
Supervised Classification on cm1_req

Supervised Classification on cm1_req

Task 4611 Supervised Classification cm1_req 203 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, f_measure: 0.6771, kb_relative_information_score: 7.0425, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.9999, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5185, f_measure: 0.7218, kappa: 0.1387, kb_relative_information_score: -233.4288, mean_absolute_error: 0.3812, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.7122, predictive_accuracy: 0.7596, prior_entropy: 0.7794, recall: 0.7596, relative_absolute_error: 1.0837, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4347, root_relative_squared_error: 1.0414, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5088, f_measure: 0.7345, kappa: 0.1864, kb_relative_information_score: 9.402, mean_absolute_error: 0.329, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.7253, predictive_accuracy: 0.7618, prior_entropy: 0.7794, recall: 0.7618, relative_absolute_error: 0.9351, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4441, root_relative_squared_error: 1.064, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6771, kb_relative_information_score: 237.9813, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 0.6388, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.474, root_relative_squared_error: 1.1356, scimark_benchmark: 941.3142, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6771, kb_relative_information_score: 237.9813, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 0.6388, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.474, root_relative_squared_error: 1.1356, scimark_benchmark: 904.0772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3556, f_measure: 0.6771, kb_relative_information_score: -55.4766, mean_absolute_error: 0.3565, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 1.0135, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4265, root_relative_squared_error: 1.0216, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3476, f_measure: 0.6771, kb_relative_information_score: -56.3094, mean_absolute_error: 0.3567, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 1.0141, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4267, root_relative_squared_error: 1.0223, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3476, f_measure: 0.6771, kb_relative_information_score: -56.3094, mean_absolute_error: 0.3567, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 1.0141, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4267, root_relative_squared_error: 1.0223, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5445, f_measure: 0.6816, kappa: 0.0095, kb_relative_information_score: -9.4668, mean_absolute_error: 0.3442, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.6768, predictive_accuracy: 0.7719, prior_entropy: 0.7794, recall: 0.7719, relative_absolute_error: 0.9785, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4146, root_relative_squared_error: 0.9933, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5442, f_measure: 0.7185, kappa: 0.1221, kb_relative_information_score: -2.4469, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.7148, predictive_accuracy: 0.7674, prior_entropy: 0.7794, recall: 0.7674, relative_absolute_error: 0.9437, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4287, root_relative_squared_error: 1.0271, scimark_benchmark: 908.6124, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3634, f_measure: 0.6749, kappa: -0.0089, kb_relative_information_score: -69.6, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.6003, predictive_accuracy: 0.7708, prior_entropy: 0.7794, recall: 0.7708, relative_absolute_error: 1.0233, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4282, root_relative_squared_error: 1.0258, scimark_benchmark: 944.1067, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6771, kb_relative_information_score: 237.9813, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 0.6388, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.474, root_relative_squared_error: 1.1356, scimark_benchmark: 938.5498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6771, kb_relative_information_score: 237.9813, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 0.6388, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.474, root_relative_squared_error: 1.1356, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5422, f_measure: 0.7162, kappa: 0.1173, kb_relative_information_score: 5.5244, mean_absolute_error: 0.3266, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.7074, predictive_accuracy: 0.7607, prior_entropy: 0.7794, recall: 0.7607, relative_absolute_error: 0.9285, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4249, root_relative_squared_error: 1.0179, scimark_benchmark: 943.1009, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, f_measure: 0.6771, kb_relative_information_score: 7.0425, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.9999, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5185, f_measure: 0.7218, kappa: 0.1387, kb_relative_information_score: -233.4288, mean_absolute_error: 0.3812, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.7122, predictive_accuracy: 0.7596, prior_entropy: 0.7794, recall: 0.7596, relative_absolute_error: 1.0837, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4347, root_relative_squared_error: 1.0414, scimark_benchmark: 901.6243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5088, f_measure: 0.7345, kappa: 0.1864, kb_relative_information_score: 9.402, mean_absolute_error: 0.329, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.7253, predictive_accuracy: 0.7618, prior_entropy: 0.7794, recall: 0.7618, relative_absolute_error: 0.9351, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4441, root_relative_squared_error: 1.064, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6771, kb_relative_information_score: 237.9813, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 0.6388, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.474, root_relative_squared_error: 1.1356, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3556, f_measure: 0.6771, kb_relative_information_score: -55.4766, mean_absolute_error: 0.3565, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 1.0135, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4265, root_relative_squared_error: 1.0216, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3476, f_measure: 0.6771, kb_relative_information_score: -56.3094, mean_absolute_error: 0.3567, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 1.0141, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4267, root_relative_squared_error: 1.0223, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3476, f_measure: 0.6771, kb_relative_information_score: -56.3094, mean_absolute_error: 0.3567, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 1.0141, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4267, root_relative_squared_error: 1.0223, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3476, f_measure: 0.6771, kb_relative_information_score: -56.3094, mean_absolute_error: 0.3567, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 1.0141, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4267, root_relative_squared_error: 1.0223, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5445, f_measure: 0.6816, kappa: 0.0095, kb_relative_information_score: -9.4668, mean_absolute_error: 0.3442, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.6768, predictive_accuracy: 0.7719, prior_entropy: 0.7794, recall: 0.7719, relative_absolute_error: 0.9785, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4146, root_relative_squared_error: 0.9933, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5442, f_measure: 0.7185, kappa: 0.1221, kb_relative_information_score: -2.4469, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.7148, predictive_accuracy: 0.7674, prior_entropy: 0.7794, recall: 0.7674, relative_absolute_error: 0.9437, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4287, root_relative_squared_error: 1.0271, scimark_benchmark: 936.3373, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3476, f_measure: 0.6771, kb_relative_information_score: -56.3094, mean_absolute_error: 0.3567, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 1.0141, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4267, root_relative_squared_error: 1.0223, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3634, f_measure: 0.6749, kappa: -0.0089, kb_relative_information_score: -69.6, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.6003, predictive_accuracy: 0.7708, prior_entropy: 0.7794, recall: 0.7708, relative_absolute_error: 1.0233, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4282, root_relative_squared_error: 1.0258, scimark_benchmark: 941.3057, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5422, f_measure: 0.7162, kappa: 0.1173, kb_relative_information_score: 5.5244, mean_absolute_error: 0.3266, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.7074, predictive_accuracy: 0.7607, prior_entropy: 0.7794, recall: 0.7607, relative_absolute_error: 0.9285, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4249, root_relative_squared_error: 1.0179, scimark_benchmark: 1051.249, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5505, f_measure: 0.6883, kappa: 0.0266, kb_relative_information_score: -2.4597, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.6818, predictive_accuracy: 0.7674, prior_entropy: 0.7794, recall: 0.7674, relative_absolute_error: 0.9698, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4176, root_relative_squared_error: 1.0003, scimark_benchmark: 1171.0303, usercpu_time_millis: 480, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5582, f_measure: 0.6866, kappa: 0.0216, kb_relative_information_score: -0.4397, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.678, predictive_accuracy: 0.7674, prior_entropy: 0.7794, recall: 0.7674, relative_absolute_error: 0.9673, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.9986, scimark_benchmark: 919.3788, usercpu_time_millis: 310, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5469, f_measure: 0.6847, kappa: 0.0151, kb_relative_information_score: -3.429, mean_absolute_error: 0.3411, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.668, predictive_accuracy: 0.764, prior_entropy: 0.7794, recall: 0.764, relative_absolute_error: 0.9696, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4175, root_relative_squared_error: 1.0002, scimark_benchmark: 926.5462, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5599, f_measure: 0.6853, kappa: 0.0172, kb_relative_information_score: -1.5104, mean_absolute_error: 0.3407, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.6711, predictive_accuracy: 0.7652, prior_entropy: 0.7794, recall: 0.7652, relative_absolute_error: 0.9686, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4177, root_relative_squared_error: 1.0007, scimark_benchmark: 930.2337, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5622, f_measure: 0.6864, kappa: 0.0201, kb_relative_information_score: 11.1551, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.6721, predictive_accuracy: 0.764, prior_entropy: 0.7794, recall: 0.764, relative_absolute_error: 0.9598, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.9961, scimark_benchmark: 920.5394, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5111, f_measure: 0.701, kappa: 0.0668, kb_relative_information_score: -18.0322, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.6869, predictive_accuracy: 0.7539, prior_entropy: 0.7794, recall: 0.7539, relative_absolute_error: 0.951, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4395, root_relative_squared_error: 1.0529, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5111, f_measure: 0.701, kappa: 0.0668, kb_relative_information_score: -18.0322, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.6869, predictive_accuracy: 0.7539, prior_entropy: 0.7794, recall: 0.7539, relative_absolute_error: 0.951, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4395, root_relative_squared_error: 1.0529, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5111, f_measure: 0.701, kappa: 0.0668, kb_relative_information_score: -18.0322, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.6869, predictive_accuracy: 0.7539, prior_entropy: 0.7794, recall: 0.7539, relative_absolute_error: 0.951, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4395, root_relative_squared_error: 1.0529, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5111, f_measure: 0.701, kappa: 0.0668, kb_relative_information_score: -18.0322, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.6869, predictive_accuracy: 0.7539, prior_entropy: 0.7794, recall: 0.7539, relative_absolute_error: 0.951, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4395, root_relative_squared_error: 1.0529, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5133, f_measure: 0.6943, kappa: 0.0449, kb_relative_information_score: -17.4728, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.6769, predictive_accuracy: 0.7517, prior_entropy: 0.7794, recall: 0.7517, relative_absolute_error: 0.9505, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.0514, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, f_measure: 0.6771, kb_relative_information_score: -3.2001, mean_absolute_error: 0.3522, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4175, root_relative_squared_error: 1.0001, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5524, f_measure: 0.6836, kappa: 0.0104, kb_relative_information_score: 175.8119, mean_absolute_error: 0.2468, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.6599, predictive_accuracy: 0.7562, prior_entropy: 0.7794, recall: 0.7562, relative_absolute_error: 0.7016, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4746, root_relative_squared_error: 1.1369, scimark_benchmark: 929.0296, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.56, f_measure: 0.679, kappa: 0.002, kb_relative_information_score: 210.1247, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.6574, predictive_accuracy: 0.7708, prior_entropy: 0.7794, recall: 0.7708, relative_absolute_error: 0.6717, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4666, root_relative_squared_error: 1.1179, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3634, f_measure: 0.6749, kappa: -0.0089, kb_relative_information_score: -69.6, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.6003, predictive_accuracy: 0.7708, prior_entropy: 0.7794, recall: 0.7708, relative_absolute_error: 1.0233, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4282, root_relative_squared_error: 1.0258, scimark_benchmark: 1332.9478, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5422, f_measure: 0.7162, kappa: 0.1173, kb_relative_information_score: 5.5244, mean_absolute_error: 0.3266, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.7074, predictive_accuracy: 0.7607, prior_entropy: 0.7794, recall: 0.7607, relative_absolute_error: 0.9285, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4249, root_relative_squared_error: 1.0179, scimark_benchmark: 1338.1299, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5185, f_measure: 0.7218, kappa: 0.1387, kb_relative_information_score: -233.4288, mean_absolute_error: 0.3812, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.7122, predictive_accuracy: 0.7596, prior_entropy: 0.7794, recall: 0.7596, relative_absolute_error: 1.0837, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4347, root_relative_squared_error: 1.0414, scimark_benchmark: 1346.0226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5088, f_measure: 0.7345, kappa: 0.1864, kb_relative_information_score: 9.402, mean_absolute_error: 0.329, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.7253, predictive_accuracy: 0.7618, prior_entropy: 0.7794, recall: 0.7618, relative_absolute_error: 0.9351, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4441, root_relative_squared_error: 1.064, scimark_benchmark: 1253.0071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4836, f_measure: 0.6721, kappa: -0.0245, kb_relative_information_score: -509.3453, mean_absolute_error: 0.4554, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.6257, predictive_accuracy: 0.7539, prior_entropy: 0.7794, recall: 0.7539, relative_absolute_error: 1.2946, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4885, root_relative_squared_error: 1.1703, scimark_benchmark: 1350.1007, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3556, f_measure: 0.6771, kb_relative_information_score: -55.4766, mean_absolute_error: 0.3565, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 1.0135, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4265, root_relative_squared_error: 1.0216, scimark_benchmark: 1367.3264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3476, f_measure: 0.6771, kb_relative_information_score: -56.3094, mean_absolute_error: 0.3567, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 1.0141, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4267, root_relative_squared_error: 1.0223, scimark_benchmark: 1335.2021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3476, f_measure: 0.6771, kb_relative_information_score: -56.3094, mean_absolute_error: 0.3567, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 1.0141, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4267, root_relative_squared_error: 1.0223, scimark_benchmark: 1338.6409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3476, f_measure: 0.6771, kb_relative_information_score: -56.3094, mean_absolute_error: 0.3567, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 1.0141, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4267, root_relative_squared_error: 1.0223, scimark_benchmark: 1390.8284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3476, f_measure: 0.6771, kb_relative_information_score: -56.3094, mean_absolute_error: 0.3567, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 1.0141, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4267, root_relative_squared_error: 1.0223, scimark_benchmark: 1333.9878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3634, f_measure: 0.6749, kappa: -0.0089, kb_relative_information_score: -69.6, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.6003, predictive_accuracy: 0.7708, prior_entropy: 0.7794, recall: 0.7708, relative_absolute_error: 1.0233, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4282, root_relative_squared_error: 1.0258, scimark_benchmark: 1347.7267, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5422, f_measure: 0.7162, kappa: 0.1173, kb_relative_information_score: 5.5244, mean_absolute_error: 0.3266, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.7074, predictive_accuracy: 0.7607, prior_entropy: 0.7794, recall: 0.7607, relative_absolute_error: 0.9285, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4249, root_relative_squared_error: 1.0179, scimark_benchmark: 1325.6322, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5714, f_measure: 0.7153, kappa: 0.127, kb_relative_information_score: 38.8023, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.702, predictive_accuracy: 0.7449, prior_entropy: 0.7794, recall: 0.7449, relative_absolute_error: 0.8986, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4425, root_relative_squared_error: 1.0601, scimark_benchmark: 1360.6367, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6771, kb_relative_information_score: 237.9813, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 0.6388, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.474, root_relative_squared_error: 1.1356, scimark_benchmark: 1344.7374, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6771, kb_relative_information_score: 237.9813, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 0.6388, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.474, root_relative_squared_error: 1.1356, scimark_benchmark: 1321.8132, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3476, f_measure: 0.6771, kb_relative_information_score: -56.3094, mean_absolute_error: 0.3567, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 1.0141, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4267, root_relative_squared_error: 1.0223, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3476, f_measure: 0.6771, kb_relative_information_score: -56.3094, mean_absolute_error: 0.3567, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 1.0141, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4267, root_relative_squared_error: 1.0223, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3634, f_measure: 0.6749, kappa: -0.0089, kb_relative_information_score: -69.6, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.3518, number_of_instances: 890, precision: 0.6003, predictive_accuracy: 0.7708, prior_entropy: 0.7794, recall: 0.7708, relative_absolute_error: 1.0233, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4282, root_relative_squared_error: 1.0258, scimark_benchmark: 1344.4042, 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