Task
Supervised Classification on pollution

Supervised Classification on pollution

Task 4451 Supervised Classification pollution 221 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.6684, kappa: 0.3362, kb_relative_information_score: 180.9341, mean_absolute_error: 0.3536, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.6685, predictive_accuracy: 0.6683, prior_entropy: 0.9992, recall: 0.6683, relative_absolute_error: 0.708, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5087, root_relative_squared_error: 1.0179, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, f_measure: 0.6951, kappa: 0.3899, kb_relative_information_score: 226.3032, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.6955, predictive_accuracy: 0.695, prior_entropy: 0.9992, recall: 0.695, relative_absolute_error: 0.6303, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4478, root_relative_squared_error: 0.8962, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.686, kappa: 0.3712, kb_relative_information_score: 227.6438, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.6868, predictive_accuracy: 0.6867, prior_entropy: 0.9992, recall: 0.6867, relative_absolute_error: 0.6207, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.9955, scimark_benchmark: 934.3687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4774, f_measure: 0.3756, kappa: -0.0466, kb_relative_information_score: -10.9468, mean_absolute_error: 0.5083, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.418, predictive_accuracy: 0.4917, prior_entropy: 0.9992, recall: 0.4917, relative_absolute_error: 1.0178, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.713, root_relative_squared_error: 1.4267, scimark_benchmark: 904.0772, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7078, kappa: 0.4149, kb_relative_information_score: 235.8775, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7085, predictive_accuracy: 0.7083, prior_entropy: 0.9992, recall: 0.7083, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9123, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.7584, kappa: 0.5166, kb_relative_information_score: 210.4372, mean_absolute_error: 0.3393, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7588, predictive_accuracy: 0.7583, prior_entropy: 0.9992, recall: 0.7583, relative_absolute_error: 0.6793, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8124, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.785, kappa: 0.5702, kb_relative_information_score: 302.645, mean_absolute_error: 0.2586, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7861, predictive_accuracy: 0.785, prior_entropy: 0.9992, recall: 0.785, relative_absolute_error: 0.5177, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7254, scimark_benchmark: 934.2976, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.8001, kappa: 0.5999, kb_relative_information_score: 319.656, mean_absolute_error: 0.2416, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.8004, predictive_accuracy: 0.8, prior_entropy: 0.9992, recall: 0.8, relative_absolute_error: 0.4837, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.8191, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8016, kappa: 0.6041, kb_relative_information_score: 259.9793, mean_absolute_error: 0.299, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.8047, predictive_accuracy: 0.8017, prior_entropy: 0.9992, recall: 0.8017, relative_absolute_error: 0.5986, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.7389, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4774, f_measure: 0.3756, kappa: -0.0466, kb_relative_information_score: -10.9468, mean_absolute_error: 0.5083, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.418, predictive_accuracy: 0.4917, prior_entropy: 0.9992, recall: 0.4917, relative_absolute_error: 1.0178, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.713, root_relative_squared_error: 1.4267, scimark_benchmark: 938.5498, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4774, f_measure: 0.3756, kappa: -0.0466, kb_relative_information_score: -10.9468, mean_absolute_error: 0.5083, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.418, predictive_accuracy: 0.4917, prior_entropy: 0.9992, recall: 0.4917, relative_absolute_error: 1.0178, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.713, root_relative_squared_error: 1.4267, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.6973, kappa: 0.3942, kb_relative_information_score: 234.4636, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.699, predictive_accuracy: 0.6983, prior_entropy: 0.9992, recall: 0.6983, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.463, root_relative_squared_error: 0.9265, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7078, kappa: 0.4149, kb_relative_information_score: 235.8775, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7085, predictive_accuracy: 0.7083, prior_entropy: 0.9992, recall: 0.7083, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9123, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7078, kappa: 0.4149, kb_relative_information_score: 235.8775, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7085, predictive_accuracy: 0.7083, prior_entropy: 0.9992, recall: 0.7083, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9123, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8016, kappa: 0.6041, kb_relative_information_score: 259.9793, mean_absolute_error: 0.299, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.8047, predictive_accuracy: 0.8017, prior_entropy: 0.9992, recall: 0.8017, relative_absolute_error: 0.5986, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.7389, scimark_benchmark: 943.1009, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.6684, kappa: 0.3362, kb_relative_information_score: 180.9341, mean_absolute_error: 0.3536, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.6685, predictive_accuracy: 0.6683, prior_entropy: 0.9992, recall: 0.6683, relative_absolute_error: 0.708, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5087, root_relative_squared_error: 1.0179, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, f_measure: 0.6951, kappa: 0.3899, kb_relative_information_score: 226.3032, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.6955, predictive_accuracy: 0.695, prior_entropy: 0.9992, recall: 0.695, relative_absolute_error: 0.6303, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4478, root_relative_squared_error: 0.8962, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.686, kappa: 0.3712, kb_relative_information_score: 227.6438, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.6868, predictive_accuracy: 0.6867, prior_entropy: 0.9992, recall: 0.6867, relative_absolute_error: 0.6207, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.9955, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4774, f_measure: 0.3756, kappa: -0.0466, kb_relative_information_score: -10.9468, mean_absolute_error: 0.5083, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.418, predictive_accuracy: 0.4917, prior_entropy: 0.9992, recall: 0.4917, relative_absolute_error: 1.0178, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.713, root_relative_squared_error: 1.4267, scimark_benchmark: 943.6618, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4774, f_measure: 0.3756, kappa: -0.0466, kb_relative_information_score: -10.9468, mean_absolute_error: 0.5083, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.418, predictive_accuracy: 0.4917, prior_entropy: 0.9992, recall: 0.4917, relative_absolute_error: 1.0178, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.713, root_relative_squared_error: 1.4267, scimark_benchmark: 936.2574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.6973, kappa: 0.3942, kb_relative_information_score: 234.4636, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.699, predictive_accuracy: 0.6983, prior_entropy: 0.9992, recall: 0.6983, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.463, root_relative_squared_error: 0.9265, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7078, kappa: 0.4149, kb_relative_information_score: 235.8775, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7085, predictive_accuracy: 0.7083, prior_entropy: 0.9992, recall: 0.7083, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9123, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7078, kappa: 0.4149, kb_relative_information_score: 235.8775, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7085, predictive_accuracy: 0.7083, prior_entropy: 0.9992, recall: 0.7083, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9123, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.7584, kappa: 0.5166, kb_relative_information_score: 210.4372, mean_absolute_error: 0.3393, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7588, predictive_accuracy: 0.7583, prior_entropy: 0.9992, recall: 0.7583, relative_absolute_error: 0.6793, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8124, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.785, kappa: 0.5702, kb_relative_information_score: 302.645, mean_absolute_error: 0.2586, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7861, predictive_accuracy: 0.785, prior_entropy: 0.9992, recall: 0.785, relative_absolute_error: 0.5177, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7254, scimark_benchmark: 919.3788, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7078, kappa: 0.4149, kb_relative_information_score: 235.8775, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7085, predictive_accuracy: 0.7083, prior_entropy: 0.9992, recall: 0.7083, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9123, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.8001, kappa: 0.5999, kb_relative_information_score: 319.656, mean_absolute_error: 0.2416, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.8004, predictive_accuracy: 0.8, prior_entropy: 0.9992, recall: 0.8, relative_absolute_error: 0.4837, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.8191, scimark_benchmark: 730.6551, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8016, kappa: 0.6041, kb_relative_information_score: 259.9793, mean_absolute_error: 0.299, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.8047, predictive_accuracy: 0.8017, prior_entropy: 0.9992, recall: 0.8017, relative_absolute_error: 0.5986, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.7389, scimark_benchmark: 936.9595, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.8067, kappa: 0.6135, kb_relative_information_score: 274.0309, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.8076, predictive_accuracy: 0.8067, prior_entropy: 0.9992, recall: 0.8067, relative_absolute_error: 0.5757, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.7232, scimark_benchmark: 901.4991, usercpu_time_millis: 570, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.8083, kappa: 0.6171, kb_relative_information_score: 271.5085, mean_absolute_error: 0.2891, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.81, predictive_accuracy: 0.8083, prior_entropy: 0.9992, recall: 0.8083, relative_absolute_error: 0.5789, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.7332, scimark_benchmark: 906.5979, usercpu_time_millis: 250, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.8017, kappa: 0.6036, kb_relative_information_score: 269.6482, mean_absolute_error: 0.2902, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.803, predictive_accuracy: 0.8017, prior_entropy: 0.9992, recall: 0.8017, relative_absolute_error: 0.5811, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.7373, scimark_benchmark: 921.466, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.7951, kappa: 0.59, kb_relative_information_score: 264.0958, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7955, predictive_accuracy: 0.795, prior_entropy: 0.9992, recall: 0.795, relative_absolute_error: 0.5896, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7507, scimark_benchmark: 944.235, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, f_measure: 0.795, kappa: 0.5902, kb_relative_information_score: 264.4098, mean_absolute_error: 0.2924, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7961, predictive_accuracy: 0.795, prior_entropy: 0.9992, recall: 0.795, relative_absolute_error: 0.5855, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3858, root_relative_squared_error: 0.772, scimark_benchmark: 914.3583, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.7884, kappa: 0.5765, kb_relative_information_score: 335.5178, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7887, predictive_accuracy: 0.7883, prior_entropy: 0.9992, recall: 0.7883, relative_absolute_error: 0.443, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.863, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.7884, kappa: 0.5765, kb_relative_information_score: 335.5178, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7887, predictive_accuracy: 0.7883, prior_entropy: 0.9992, recall: 0.7883, relative_absolute_error: 0.443, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.863, scimark_benchmark: 889.4922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8628, f_measure: 0.7884, kappa: 0.5765, kb_relative_information_score: 334.5344, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7887, predictive_accuracy: 0.7883, prior_entropy: 0.9992, recall: 0.7883, relative_absolute_error: 0.4447, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8639, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.7901, kappa: 0.58, kb_relative_information_score: 333.8199, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7906, predictive_accuracy: 0.79, prior_entropy: 0.9992, recall: 0.79, relative_absolute_error: 0.4461, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8638, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, f_measure: 0.775, kappa: 0.5496, kb_relative_information_score: 317.514, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.775, predictive_accuracy: 0.775, prior_entropy: 0.9992, recall: 0.775, relative_absolute_error: 0.4746, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8648, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.47, f_measure: 0.3835, kappa: -0.0616, kb_relative_information_score: -0.9468, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.4194, predictive_accuracy: 0.4833, prior_entropy: 0.9992, recall: 0.4833, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0011, scimark_benchmark: 929.0296,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.7834, kappa: 0.5667, kb_relative_information_score: 339.1685, mean_absolute_error: 0.2176, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7839, predictive_accuracy: 0.7833, prior_entropy: 0.9992, recall: 0.7833, relative_absolute_error: 0.4356, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4485, root_relative_squared_error: 0.8974, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.6684, kappa: 0.3362, kb_relative_information_score: 180.9341, mean_absolute_error: 0.3536, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.6685, predictive_accuracy: 0.6683, prior_entropy: 0.9992, recall: 0.6683, relative_absolute_error: 0.708, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5087, root_relative_squared_error: 1.0179, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4774, f_measure: 0.3756, kappa: -0.0466, kb_relative_information_score: -10.9468, mean_absolute_error: 0.5083, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.418, predictive_accuracy: 0.4917, prior_entropy: 0.9992, recall: 0.4917, relative_absolute_error: 1.0178, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.713, root_relative_squared_error: 1.4267, scimark_benchmark: 1309.0674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.6973, kappa: 0.3942, kb_relative_information_score: 234.4636, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.699, predictive_accuracy: 0.6983, prior_entropy: 0.9992, recall: 0.6983, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.463, root_relative_squared_error: 0.9265, scimark_benchmark: 1335.6555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7078, kappa: 0.4149, kb_relative_information_score: 235.8775, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7085, predictive_accuracy: 0.7083, prior_entropy: 0.9992, recall: 0.7083, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9123, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7078, kappa: 0.4149, kb_relative_information_score: 235.8775, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7085, predictive_accuracy: 0.7083, prior_entropy: 0.9992, recall: 0.7083, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9123, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, f_measure: 0.6951, kappa: 0.3899, kb_relative_information_score: 226.3032, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.6955, predictive_accuracy: 0.695, prior_entropy: 0.9992, recall: 0.695, relative_absolute_error: 0.6303, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4478, root_relative_squared_error: 0.8962, scimark_benchmark: 1274.7011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7078, kappa: 0.4149, kb_relative_information_score: 235.8775, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7085, predictive_accuracy: 0.7083, prior_entropy: 0.9992, recall: 0.7083, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9123, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7078, kappa: 0.4149, kb_relative_information_score: 235.8775, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7085, predictive_accuracy: 0.7083, prior_entropy: 0.9992, recall: 0.7083, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9123, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7078, kappa: 0.4149, kb_relative_information_score: 235.8775, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7085, predictive_accuracy: 0.7083, prior_entropy: 0.9992, recall: 0.7083, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9123, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.785, kappa: 0.5702, kb_relative_information_score: 302.645, mean_absolute_error: 0.2586, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7861, predictive_accuracy: 0.785, prior_entropy: 0.9992, recall: 0.785, relative_absolute_error: 0.5177, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7254, scimark_benchmark: 1308.685, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7078, kappa: 0.4149, kb_relative_information_score: 235.8775, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7085, predictive_accuracy: 0.7083, prior_entropy: 0.9992, recall: 0.7083, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9123, scimark_benchmark: 1354.5533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, f_measure: 0.6951, kappa: 0.3899, kb_relative_information_score: 226.3032, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.6955, predictive_accuracy: 0.695, prior_entropy: 0.9992, recall: 0.695, relative_absolute_error: 0.6303, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4478, root_relative_squared_error: 0.8962, scimark_benchmark: 1314.2279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7078, kappa: 0.4149, kb_relative_information_score: 235.8775, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7085, predictive_accuracy: 0.7083, prior_entropy: 0.9992, recall: 0.7083, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9123, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7078, kappa: 0.4149, kb_relative_information_score: 235.8775, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7085, predictive_accuracy: 0.7083, prior_entropy: 0.9992, recall: 0.7083, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9123, scimark_benchmark: 1346.4374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7078, kappa: 0.4149, kb_relative_information_score: 235.8775, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7085, predictive_accuracy: 0.7083, prior_entropy: 0.9992, recall: 0.7083, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9123, scimark_benchmark: 1332.7986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7078, kappa: 0.4149, kb_relative_information_score: 235.8775, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7085, predictive_accuracy: 0.7083, prior_entropy: 0.9992, recall: 0.7083, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9123, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7078, kappa: 0.4149, kb_relative_information_score: 235.8775, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.7085, predictive_accuracy: 0.7083, prior_entropy: 0.9992, recall: 0.7083, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9123, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.8001, kappa: 0.5999, kb_relative_information_score: 319.656, mean_absolute_error: 0.2416, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.8004, predictive_accuracy: 0.8, prior_entropy: 0.9992, recall: 0.8, relative_absolute_error: 0.4837, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.8191, scimark_benchmark: 1322.1893, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8016, kappa: 0.6041, kb_relative_information_score: 259.9793, mean_absolute_error: 0.299, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.8047, predictive_accuracy: 0.8017, prior_entropy: 0.9992, recall: 0.8017, relative_absolute_error: 0.5986, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.7389, scimark_benchmark: 1332.6745, 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