Task
Supervised Classification on visualizing_environmental

Supervised Classification on visualizing_environmental

Task 4307 Supervised Classification visualizing_environmental 201 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7282, f_measure: 0.6929, kappa: 0.3857, kb_relative_information_score: 0.2708, mean_absolute_error: 0.3737, mean_prior_absolute_error: 0.499, weighted_recall: 0.6928, number_of_instances: 1110, precision: 0.6939, predictive_accuracy: 0.6928, prior_entropy: 0.9985, relative_absolute_error: 0.7489, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4706, root_relative_squared_error: 0.9423, scimark_benchmark: 931.1106, unweighted_recall: 0.6933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7614, f_measure: 0.7032, kappa: 0.4094, kb_relative_information_score: 0.2731, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.499, weighted_recall: 0.7036, number_of_instances: 1110, precision: 0.7087, predictive_accuracy: 0.7036, prior_entropy: 0.9985, relative_absolute_error: 0.7495, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.8841, scimark_benchmark: 979.7764, unweighted_recall: 0.7059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6535, f_measure: 0.7079, kappa: 0.4411, kb_relative_information_score: 300.4511, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.7586, predictive_accuracy: 0.7162, prior_entropy: 0.9986, recall: 0.7162, relative_absolute_error: 0.7569, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.8898, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7295, f_measure: 0.6676, kappa: 0.3339, kb_relative_information_score: 253.6621, mean_absolute_error: 0.3956, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.6677, predictive_accuracy: 0.6676, prior_entropy: 0.9986, recall: 0.6676, relative_absolute_error: 0.7928, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4567, root_relative_squared_error: 0.9144, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.6596, kappa: 0.3181, kb_relative_information_score: 279.3749, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.6598, predictive_accuracy: 0.6595, prior_entropy: 0.9986, recall: 0.6595, relative_absolute_error: 0.7616, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.498, root_relative_squared_error: 0.997, scimark_benchmark: 934.3687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5377, f_measure: 0.4344, kappa: 0.0786, kb_relative_information_score: 127.1696, mean_absolute_error: 0.4414, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.7607, predictive_accuracy: 0.5586, prior_entropy: 0.9986, recall: 0.5586, relative_absolute_error: 0.8846, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6644, root_relative_squared_error: 1.3302, scimark_benchmark: 904.6764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5377, f_measure: 0.4344, kappa: 0.0786, kb_relative_information_score: 127.1696, mean_absolute_error: 0.4414, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.7607, predictive_accuracy: 0.5586, prior_entropy: 0.9986, recall: 0.5586, relative_absolute_error: 0.8846, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6644, root_relative_squared_error: 1.3302, scimark_benchmark: 931.771, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6498, f_measure: 0.7017, kappa: 0.4262, kb_relative_information_score: 279.5812, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.7448, predictive_accuracy: 0.709, prior_entropy: 0.9986, recall: 0.709, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9086, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6498, f_measure: 0.7017, kappa: 0.4262, kb_relative_information_score: 279.5812, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.7448, predictive_accuracy: 0.709, prior_entropy: 0.9986, recall: 0.709, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9086, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.6912, kappa: 0.3866, kb_relative_information_score: 296.7423, mean_absolute_error: 0.3769, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.6982, predictive_accuracy: 0.6919, prior_entropy: 0.9986, recall: 0.6919, relative_absolute_error: 0.7553, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9077, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.754, f_measure: 0.6983, kappa: 0.4013, kb_relative_information_score: 278.8458, mean_absolute_error: 0.3857, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.7063, predictive_accuracy: 0.6991, prior_entropy: 0.9986, recall: 0.6991, relative_absolute_error: 0.773, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.443, root_relative_squared_error: 0.8868, scimark_benchmark: 944.1067, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.661, f_measure: 0.7007, kappa: 0.4199, kb_relative_information_score: 283.5825, mean_absolute_error: 0.3854, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.7345, predictive_accuracy: 0.7063, prior_entropy: 0.9986, recall: 0.7063, relative_absolute_error: 0.7722, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9087, scimark_benchmark: 927.2917, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5377, f_measure: 0.4344, kappa: 0.0786, kb_relative_information_score: 127.1696, mean_absolute_error: 0.4414, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.7607, predictive_accuracy: 0.5586, prior_entropy: 0.9986, recall: 0.5586, relative_absolute_error: 0.8846, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6644, root_relative_squared_error: 1.3302, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5377, f_measure: 0.4344, kappa: 0.0786, kb_relative_information_score: 127.1696, mean_absolute_error: 0.4414, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.7607, predictive_accuracy: 0.5586, prior_entropy: 0.9986, recall: 0.5586, relative_absolute_error: 0.8846, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6644, root_relative_squared_error: 1.3302, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6498, f_measure: 0.7017, kappa: 0.4262, kb_relative_information_score: 279.5812, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.7448, predictive_accuracy: 0.709, prior_entropy: 0.9986, recall: 0.709, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9086, scimark_benchmark: 947.1781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7282, f_measure: 0.6929, kappa: 0.3857, kb_relative_information_score: 300.6002, mean_absolute_error: 0.3737, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.6939, predictive_accuracy: 0.6928, prior_entropy: 0.9986, recall: 0.6928, relative_absolute_error: 0.7489, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4706, root_relative_squared_error: 0.9423, scimark_benchmark: 943.1009, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7274, f_measure: 0.7025, kappa: 0.4235, kb_relative_information_score: 343.8168, mean_absolute_error: 0.3534, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.7365, predictive_accuracy: 0.7081, prior_entropy: 0.9986, recall: 0.7081, relative_absolute_error: 0.7083, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.9113, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6535, f_measure: 0.7079, kappa: 0.4411, kb_relative_information_score: 300.4511, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.7586, predictive_accuracy: 0.7162, prior_entropy: 0.9986, recall: 0.7162, relative_absolute_error: 0.7569, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.8898, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7295, f_measure: 0.6676, kappa: 0.3339, kb_relative_information_score: 253.6621, mean_absolute_error: 0.3956, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.6677, predictive_accuracy: 0.6676, prior_entropy: 0.9986, recall: 0.6676, relative_absolute_error: 0.7928, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4567, root_relative_squared_error: 0.9144, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.6596, kappa: 0.3181, kb_relative_information_score: 279.3749, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.6598, predictive_accuracy: 0.6595, prior_entropy: 0.9986, recall: 0.6595, relative_absolute_error: 0.7616, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.498, root_relative_squared_error: 0.997, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5377, f_measure: 0.4344, kappa: 0.0786, kb_relative_information_score: 127.1696, mean_absolute_error: 0.4414, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.7607, predictive_accuracy: 0.5586, prior_entropy: 0.9986, recall: 0.5586, relative_absolute_error: 0.8846, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6644, root_relative_squared_error: 1.3302, scimark_benchmark: 937.5683, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5377, f_measure: 0.4344, kappa: 0.0786, kb_relative_information_score: 127.1696, mean_absolute_error: 0.4414, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.7607, predictive_accuracy: 0.5586, prior_entropy: 0.9986, recall: 0.5586, relative_absolute_error: 0.8846, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6644, root_relative_squared_error: 1.3302, scimark_benchmark: 859.5223, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6498, f_measure: 0.7017, kappa: 0.4262, kb_relative_information_score: 279.5812, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.7448, predictive_accuracy: 0.709, prior_entropy: 0.9986, recall: 0.709, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9086, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6498, f_measure: 0.7017, kappa: 0.4262, kb_relative_information_score: 279.5812, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.7448, predictive_accuracy: 0.709, prior_entropy: 0.9986, recall: 0.709, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9086, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.6912, kappa: 0.3866, kb_relative_information_score: 296.7423, mean_absolute_error: 0.3769, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.6982, predictive_accuracy: 0.6919, prior_entropy: 0.9986, recall: 0.6919, relative_absolute_error: 0.7553, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9077, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.754, f_measure: 0.6983, kappa: 0.4013, kb_relative_information_score: 278.8458, mean_absolute_error: 0.3857, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.7063, predictive_accuracy: 0.6991, prior_entropy: 0.9986, recall: 0.6991, relative_absolute_error: 0.773, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.443, root_relative_squared_error: 0.8868, scimark_benchmark: 931.7096, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6498, f_measure: 0.7017, kappa: 0.4262, kb_relative_information_score: 279.5812, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.7448, predictive_accuracy: 0.709, prior_entropy: 0.9986, recall: 0.709, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9086, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.661, f_measure: 0.7007, kappa: 0.4199, kb_relative_information_score: 283.5825, mean_absolute_error: 0.3854, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.7345, predictive_accuracy: 0.7063, prior_entropy: 0.9986, recall: 0.7063, relative_absolute_error: 0.7722, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9087, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7282, f_measure: 0.6929, kappa: 0.3857, kb_relative_information_score: 300.6002, mean_absolute_error: 0.3737, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.6939, predictive_accuracy: 0.6928, prior_entropy: 0.9986, recall: 0.6928, relative_absolute_error: 0.7489, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4706, root_relative_squared_error: 0.9423, scimark_benchmark: 936.3213, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.624, f_measure: 0.6435, kappa: 0.3253, kb_relative_information_score: 187.7154, mean_absolute_error: 0.4229, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.6995, predictive_accuracy: 0.6568, prior_entropy: 0.9986, recall: 0.6568, relative_absolute_error: 0.8474, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4714, root_relative_squared_error: 0.9437, scimark_benchmark: 1051.249, usercpu_time_millis: 170, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6272, f_measure: 0.6339, kappa: 0.3056, kb_relative_information_score: 186.7583, mean_absolute_error: 0.4231, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.6858, predictive_accuracy: 0.6468, prior_entropy: 0.9986, recall: 0.6468, relative_absolute_error: 0.8478, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4713, root_relative_squared_error: 0.9436, scimark_benchmark: 904.5548, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6268, f_measure: 0.6414, kappa: 0.3219, kb_relative_information_score: 189.5509, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.6981, predictive_accuracy: 0.655, prior_entropy: 0.9986, recall: 0.655, relative_absolute_error: 0.8457, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.471, root_relative_squared_error: 0.9429, scimark_benchmark: 897.0978, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6206, f_measure: 0.6379, kappa: 0.3147, kb_relative_information_score: 185.2525, mean_absolute_error: 0.4236, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.693, predictive_accuracy: 0.6514, prior_entropy: 0.9986, recall: 0.6514, relative_absolute_error: 0.8489, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9466, scimark_benchmark: 938.8535, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.634, f_measure: 0.6397, kappa: 0.314, kb_relative_information_score: 190.3853, mean_absolute_error: 0.4217, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.6879, predictive_accuracy: 0.6514, prior_entropy: 0.9986, recall: 0.6514, relative_absolute_error: 0.845, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4705, root_relative_squared_error: 0.9419, scimark_benchmark: 931.6751, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7274, f_measure: 0.7025, kappa: 0.4235, kb_relative_information_score: 343.8168, mean_absolute_error: 0.3534, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.7365, predictive_accuracy: 0.7081, prior_entropy: 0.9986, recall: 0.7081, relative_absolute_error: 0.7083, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.9113, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7274, f_measure: 0.7025, kappa: 0.4235, kb_relative_information_score: 343.8168, mean_absolute_error: 0.3534, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.7365, predictive_accuracy: 0.7081, prior_entropy: 0.9986, recall: 0.7081, relative_absolute_error: 0.7083, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.9113, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7274, f_measure: 0.7025, kappa: 0.4235, kb_relative_information_score: 343.8168, mean_absolute_error: 0.3534, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.7365, predictive_accuracy: 0.7081, prior_entropy: 0.9986, recall: 0.7081, relative_absolute_error: 0.7083, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.9113, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7274, f_measure: 0.7025, kappa: 0.4235, kb_relative_information_score: 343.8168, mean_absolute_error: 0.3534, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.7365, predictive_accuracy: 0.7081, prior_entropy: 0.9986, recall: 0.7081, relative_absolute_error: 0.7083, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.9113, scimark_benchmark: 929.0296,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6498, f_measure: 0.7017, kappa: 0.4262, kb_relative_information_score: 279.5812, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.7448, predictive_accuracy: 0.709, prior_entropy: 0.9986, recall: 0.709, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9086, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6498, f_measure: 0.7017, kappa: 0.4262, kb_relative_information_score: 279.5812, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.7448, predictive_accuracy: 0.709, prior_entropy: 0.9986, recall: 0.709, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9086, scimark_benchmark: 1366.7181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6498, f_measure: 0.7017, kappa: 0.4262, kb_relative_information_score: 279.5812, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.7448, predictive_accuracy: 0.709, prior_entropy: 0.9986, recall: 0.709, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9086, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6521, f_measure: 0.6814, kappa: 0.3752, kb_relative_information_score: 276.368, mean_absolute_error: 0.3869, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.7007, predictive_accuracy: 0.6847, prior_entropy: 0.9986, recall: 0.6847, relative_absolute_error: 0.7754, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4669, root_relative_squared_error: 0.9348, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.754, f_measure: 0.6983, kappa: 0.4013, kb_relative_information_score: 278.8458, mean_absolute_error: 0.3857, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.7063, predictive_accuracy: 0.6991, prior_entropy: 0.9986, recall: 0.6991, relative_absolute_error: 0.773, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.443, root_relative_squared_error: 0.8868, scimark_benchmark: 1346.0226, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6498, f_measure: 0.7017, kappa: 0.4262, kb_relative_information_score: 279.5812, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.7448, predictive_accuracy: 0.709, prior_entropy: 0.9986, recall: 0.709, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9086, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6498, f_measure: 0.7017, kappa: 0.4262, kb_relative_information_score: 279.5812, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.7448, predictive_accuracy: 0.709, prior_entropy: 0.9986, recall: 0.709, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9086, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6498, f_measure: 0.7017, kappa: 0.4262, kb_relative_information_score: 279.5812, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.7448, predictive_accuracy: 0.709, prior_entropy: 0.9986, recall: 0.709, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9086, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.661, f_measure: 0.7007, kappa: 0.4199, kb_relative_information_score: 283.5825, mean_absolute_error: 0.3854, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.7345, predictive_accuracy: 0.7063, prior_entropy: 0.9986, recall: 0.7063, relative_absolute_error: 0.7722, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9087, scimark_benchmark: 1320.8283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7282, f_measure: 0.6929, kappa: 0.3857, kb_relative_information_score: 300.6002, mean_absolute_error: 0.3737, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.6939, predictive_accuracy: 0.6928, prior_entropy: 0.9986, recall: 0.6928, relative_absolute_error: 0.7489, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4706, root_relative_squared_error: 0.9423, scimark_benchmark: 1313.5633, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6768, f_measure: 0.6952, kappa: 0.4138, kb_relative_information_score: 286.1173, mean_absolute_error: 0.3832, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.738, predictive_accuracy: 0.7027, prior_entropy: 0.9986, recall: 0.7027, relative_absolute_error: 0.7679, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4527, root_relative_squared_error: 0.9063, scimark_benchmark: 1330.8256, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7098, f_measure: 0.6858, kappa: 0.379, kb_relative_information_score: 328.3988, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.6976, predictive_accuracy: 0.6874, prior_entropy: 0.9986, recall: 0.6874, relative_absolute_error: 0.7165, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4951, root_relative_squared_error: 0.9912, scimark_benchmark: 1256.2802, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6918, f_measure: 0.6587, kappa: 0.3162, kb_relative_information_score: 277.6195, mean_absolute_error: 0.3808, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.6589, predictive_accuracy: 0.6586, prior_entropy: 0.9986, recall: 0.6586, relative_absolute_error: 0.7631, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9985, scimark_benchmark: 1339.6197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7618, f_measure: 0.6957, kappa: 0.3987, kb_relative_information_score: 270.9219, mean_absolute_error: 0.3902, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.708, predictive_accuracy: 0.6973, prior_entropy: 0.9986, recall: 0.6973, relative_absolute_error: 0.782, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.883, scimark_benchmark: 1337.1928, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.6912, kappa: 0.3866, kb_relative_information_score: 296.7423, mean_absolute_error: 0.3769, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.6982, predictive_accuracy: 0.6919, prior_entropy: 0.9986, recall: 0.6919, relative_absolute_error: 0.7553, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9077, scimark_benchmark: 1335.2021, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.754, f_measure: 0.6983, kappa: 0.4013, kb_relative_information_score: 278.8458, mean_absolute_error: 0.3857, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.7063, predictive_accuracy: 0.6991, prior_entropy: 0.9986, recall: 0.6991, relative_absolute_error: 0.773, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.443, root_relative_squared_error: 0.8868, scimark_benchmark: 1313.5633, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7282, f_measure: 0.6929, kappa: 0.3857, kb_relative_information_score: 300.6002, mean_absolute_error: 0.3737, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.6939, predictive_accuracy: 0.6928, prior_entropy: 0.9986, recall: 0.6928, relative_absolute_error: 0.7489, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4706, root_relative_squared_error: 0.9423, scimark_benchmark: 1303.3869, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6535, f_measure: 0.7079, kappa: 0.4411, kb_relative_information_score: 300.4511, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.7586, predictive_accuracy: 0.7162, prior_entropy: 0.9986, recall: 0.7162, relative_absolute_error: 0.7569, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.8898, scimark_benchmark: 1317.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6498, f_measure: 0.7017, kappa: 0.4262, kb_relative_information_score: 279.5812, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.7448, predictive_accuracy: 0.709, prior_entropy: 0.9986, recall: 0.709, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9086, scimark_benchmark: 1351.1238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.661, f_measure: 0.7007, kappa: 0.4199, kb_relative_information_score: 283.5825, mean_absolute_error: 0.3854, mean_prior_absolute_error: 0.499, number_of_instances: 1110, precision: 0.7345, predictive_accuracy: 0.7063, prior_entropy: 0.9986, recall: 0.7063, relative_absolute_error: 0.7722, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9087, scimark_benchmark: 1331.0107,

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