OpenML
Supervised Classification on elusage

Supervised Classification on elusage

Task 4360 Supervised Classification elusage 242 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.8508, kappa: 0.6966, kb_relative_information_score: 0.683, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4922, weighted_recall: 0.8509, number_of_instances: 550, precision: 0.8508, predictive_accuracy: 0.8509, prior_entropy: 0.9883, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3403, root_relative_squared_error: 0.6862, scimark_benchmark: 979.7764, unweighted_recall: 0.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.8552, kappa: 0.7045, kb_relative_information_score: 0.6739, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.4922, weighted_recall: 0.8564, number_of_instances: 550, precision: 0.8577, predictive_accuracy: 0.8564, prior_entropy: 0.9883, relative_absolute_error: 0.3324, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3245, root_relative_squared_error: 0.6542, scimark_benchmark: 964.8373, unweighted_recall: 0.8481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8073, kappa: 0.6082, kb_relative_information_score: 343.8587, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.8073, predictive_accuracy: 0.8073, prior_entropy: 0.9891, recall: 0.8073, relative_absolute_error: 0.3763, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3562, root_relative_squared_error: 0.7183, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.8835, kappa: 0.7628, kb_relative_information_score: 392.5431, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.8835, predictive_accuracy: 0.8836, prior_entropy: 0.9891, recall: 0.8836, relative_absolute_error: 0.2985, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.5806, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8572, kappa: 0.7087, kb_relative_information_score: 398.2735, mean_absolute_error: 0.1352, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.8591, predictive_accuracy: 0.8582, prior_entropy: 0.9891, recall: 0.8582, relative_absolute_error: 0.2746, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.6813, scimark_benchmark: 934.3687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.8693, kappa: 0.7349, kb_relative_information_score: 402.374, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.8699, predictive_accuracy: 0.8691, prior_entropy: 0.9891, recall: 0.8691, relative_absolute_error: 0.266, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7296, scimark_benchmark: 944.1067, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.8693, kappa: 0.7349, kb_relative_information_score: 402.374, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.8699, predictive_accuracy: 0.8691, prior_entropy: 0.9891, recall: 0.8691, relative_absolute_error: 0.266, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7296, scimark_benchmark: 916.0735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8787, kappa: 0.7557, kb_relative_information_score: 376.972, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.884, predictive_accuracy: 0.8782, prior_entropy: 0.9891, recall: 0.8782, relative_absolute_error: 0.3206, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6503, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.8512, kappa: 0.698, kb_relative_information_score: 354.3592, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.8518, predictive_accuracy: 0.8509, prior_entropy: 0.9891, recall: 0.8509, relative_absolute_error: 0.3692, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6367, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.8511, kappa: 0.6978, kb_relative_information_score: 344.3229, mean_absolute_error: 0.1911, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.8515, predictive_accuracy: 0.8509, prior_entropy: 0.9891, recall: 0.8509, relative_absolute_error: 0.3883, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.6438, scimark_benchmark: 938.8177, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.904, kappa: 0.8082, kb_relative_information_score: 408.4618, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.9165, predictive_accuracy: 0.9036, prior_entropy: 0.9891, recall: 0.9036, relative_absolute_error: 0.2705, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.5931, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.8693, kappa: 0.7349, kb_relative_information_score: 402.374, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.8699, predictive_accuracy: 0.8691, prior_entropy: 0.9891, recall: 0.8691, relative_absolute_error: 0.266, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7296, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.8693, kappa: 0.7349, kb_relative_information_score: 402.374, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.8699, predictive_accuracy: 0.8691, prior_entropy: 0.9891, recall: 0.8691, relative_absolute_error: 0.266, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7296, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8787, kappa: 0.7557, kb_relative_information_score: 376.972, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.884, predictive_accuracy: 0.8782, prior_entropy: 0.9891, recall: 0.8782, relative_absolute_error: 0.3206, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6503, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8787, kappa: 0.7557, kb_relative_information_score: 376.972, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.884, predictive_accuracy: 0.8782, prior_entropy: 0.9891, recall: 0.8782, relative_absolute_error: 0.3206, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6503, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8787, kappa: 0.7557, kb_relative_information_score: 376.972, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.884, predictive_accuracy: 0.8782, prior_entropy: 0.9891, recall: 0.8782, relative_absolute_error: 0.3206, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6503, scimark_benchmark: 947.1781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.8552, kappa: 0.7045, kb_relative_information_score: 370.338, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.8577, predictive_accuracy: 0.8564, prior_entropy: 0.9891, recall: 0.8564, relative_absolute_error: 0.3324, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3245, root_relative_squared_error: 0.6542, scimark_benchmark: 947.1781, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8073, kappa: 0.6082, kb_relative_information_score: 343.8587, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.8073, predictive_accuracy: 0.8073, prior_entropy: 0.9891, recall: 0.8073, relative_absolute_error: 0.3763, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3562, root_relative_squared_error: 0.7183, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.8835, kappa: 0.7628, kb_relative_information_score: 392.5431, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.8835, predictive_accuracy: 0.8836, prior_entropy: 0.9891, recall: 0.8836, relative_absolute_error: 0.2985, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.5806, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8572, kappa: 0.7087, kb_relative_information_score: 398.2735, mean_absolute_error: 0.1352, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.8591, predictive_accuracy: 0.8582, prior_entropy: 0.9891, recall: 0.8582, relative_absolute_error: 0.2746, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.6813, scimark_benchmark: 936.2574, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.8693, kappa: 0.7349, kb_relative_information_score: 402.374, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.8699, predictive_accuracy: 0.8691, prior_entropy: 0.9891, recall: 0.8691, relative_absolute_error: 0.266, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7296, scimark_benchmark: 927.2882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.8693, kappa: 0.7349, kb_relative_information_score: 402.374, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.8699, predictive_accuracy: 0.8691, prior_entropy: 0.9891, recall: 0.8691, relative_absolute_error: 0.266, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7296, scimark_benchmark: 934.5964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.8895, kappa: 0.7784, kb_relative_information_score: 416.0762, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.898, predictive_accuracy: 0.8891, prior_entropy: 0.9891, recall: 0.8891, relative_absolute_error: 0.2495, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.6026, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8787, kappa: 0.7557, kb_relative_information_score: 376.972, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.884, predictive_accuracy: 0.8782, prior_entropy: 0.9891, recall: 0.8782, relative_absolute_error: 0.3206, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6503, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8787, kappa: 0.7557, kb_relative_information_score: 376.972, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.884, predictive_accuracy: 0.8782, prior_entropy: 0.9891, recall: 0.8782, relative_absolute_error: 0.3206, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6503, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8787, kappa: 0.7557, kb_relative_information_score: 376.972, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.884, predictive_accuracy: 0.8782, prior_entropy: 0.9891, recall: 0.8782, relative_absolute_error: 0.3206, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6503, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8787, kappa: 0.7557, kb_relative_information_score: 376.972, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.884, predictive_accuracy: 0.8782, prior_entropy: 0.9891, recall: 0.8782, relative_absolute_error: 0.3206, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6503, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.8512, kappa: 0.698, kb_relative_information_score: 354.3592, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.8518, predictive_accuracy: 0.8509, prior_entropy: 0.9891, recall: 0.8509, relative_absolute_error: 0.3692, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6367, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.8511, kappa: 0.6978, kb_relative_information_score: 344.3229, mean_absolute_error: 0.1911, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.8515, predictive_accuracy: 0.8509, prior_entropy: 0.9891, recall: 0.8509, relative_absolute_error: 0.3883, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.6438, scimark_benchmark: 905.2959, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8787, kappa: 0.7557, kb_relative_information_score: 376.972, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.884, predictive_accuracy: 0.8782, prior_entropy: 0.9891, recall: 0.8782, relative_absolute_error: 0.3206, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6503, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.904, kappa: 0.8082, kb_relative_information_score: 408.4618, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.9165, predictive_accuracy: 0.9036, prior_entropy: 0.9891, recall: 0.9036, relative_absolute_error: 0.2705, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.5931, scimark_benchmark: 730.6551, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.8552, kappa: 0.7045, kb_relative_information_score: 370.338, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.8577, predictive_accuracy: 0.8564, prior_entropy: 0.9891, recall: 0.8564, relative_absolute_error: 0.3324, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3245, root_relative_squared_error: 0.6542, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.8454, kappa: 0.6857, kb_relative_information_score: 354.2729, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.8454, predictive_accuracy: 0.8455, prior_entropy: 0.9891, recall: 0.8455, relative_absolute_error: 0.371, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.319, root_relative_squared_error: 0.6433, scimark_benchmark: 934.695, usercpu_time_millis: 150, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8472, kappa: 0.6892, kb_relative_information_score: 354.1249, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.8471, predictive_accuracy: 0.8473, prior_entropy: 0.9891, recall: 0.8473, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.642, scimark_benchmark: 943.6618, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.8453, kappa: 0.6851, kb_relative_information_score: 352.4543, mean_absolute_error: 0.1839, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.8452, predictive_accuracy: 0.8455, prior_entropy: 0.9891, recall: 0.8455, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.6501, scimark_benchmark: 862.7006, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8454, kappa: 0.6857, kb_relative_information_score: 352.4336, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.8454, predictive_accuracy: 0.8455, prior_entropy: 0.9891, recall: 0.8455, relative_absolute_error: 0.3741, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.323, root_relative_squared_error: 0.6514, scimark_benchmark: 890.4736, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.8473, kappa: 0.6898, kb_relative_information_score: 355.7048, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.8474, predictive_accuracy: 0.8473, prior_entropy: 0.9891, recall: 0.8473, relative_absolute_error: 0.3677, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.6424, scimark_benchmark: 911.2316, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8567, kappa: 0.7095, kb_relative_information_score: 394.7857, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.8577, predictive_accuracy: 0.8564, prior_entropy: 0.9891, recall: 0.8564, relative_absolute_error: 0.2754, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.6206, scimark_benchmark: 889.4922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8567, kappa: 0.7095, kb_relative_information_score: 394.7857, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.8577, predictive_accuracy: 0.8564, prior_entropy: 0.9891, recall: 0.8564, relative_absolute_error: 0.2754, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.6206, scimark_benchmark: 930.0565,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.8835, kappa: 0.7628, kb_relative_information_score: 392.5431, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.8835, predictive_accuracy: 0.8836, prior_entropy: 0.9891, recall: 0.8836, relative_absolute_error: 0.2985, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.5806, scimark_benchmark: 1360.6367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.8693, kappa: 0.7349, kb_relative_information_score: 402.374, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.8699, predictive_accuracy: 0.8691, prior_entropy: 0.9891, recall: 0.8691, relative_absolute_error: 0.266, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7296, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.8895, kappa: 0.7784, kb_relative_information_score: 416.0762, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.898, predictive_accuracy: 0.8891, prior_entropy: 0.9891, recall: 0.8891, relative_absolute_error: 0.2495, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.6026, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.8895, kappa: 0.7784, kb_relative_information_score: 416.0762, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.898, predictive_accuracy: 0.8891, prior_entropy: 0.9891, recall: 0.8891, relative_absolute_error: 0.2495, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.6026, scimark_benchmark: 1322.5413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8787, kappa: 0.7557, kb_relative_information_score: 376.972, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.884, predictive_accuracy: 0.8782, prior_entropy: 0.9891, recall: 0.8782, relative_absolute_error: 0.3206, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6503, scimark_benchmark: 1340.5125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8787, kappa: 0.7557, kb_relative_information_score: 376.972, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.884, predictive_accuracy: 0.8782, prior_entropy: 0.9891, recall: 0.8782, relative_absolute_error: 0.3206, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6503, scimark_benchmark: 1286.2211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8787, kappa: 0.7557, kb_relative_information_score: 376.972, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.884, predictive_accuracy: 0.8782, prior_entropy: 0.9891, recall: 0.8782, relative_absolute_error: 0.3206, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6503, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.8895, kappa: 0.7784, kb_relative_information_score: 416.0762, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.898, predictive_accuracy: 0.8891, prior_entropy: 0.9891, recall: 0.8891, relative_absolute_error: 0.2495, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.6026, scimark_benchmark: 1337.8124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8787, kappa: 0.7557, kb_relative_information_score: 376.972, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.884, predictive_accuracy: 0.8782, prior_entropy: 0.9891, recall: 0.8782, relative_absolute_error: 0.3206, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6503, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8787, kappa: 0.7557, kb_relative_information_score: 376.972, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.884, predictive_accuracy: 0.8782, prior_entropy: 0.9891, recall: 0.8782, relative_absolute_error: 0.3206, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6503, scimark_benchmark: 1375.1578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8787, kappa: 0.7557, kb_relative_information_score: 376.972, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.884, predictive_accuracy: 0.8782, prior_entropy: 0.9891, recall: 0.8782, relative_absolute_error: 0.3206, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6503, scimark_benchmark: 1324.8408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8787, kappa: 0.7557, kb_relative_information_score: 376.972, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.884, predictive_accuracy: 0.8782, prior_entropy: 0.9891, recall: 0.8782, relative_absolute_error: 0.3206, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6503, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.8693, kappa: 0.7349, kb_relative_information_score: 402.374, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.8699, predictive_accuracy: 0.8691, prior_entropy: 0.9891, recall: 0.8691, relative_absolute_error: 0.266, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7296, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8787, kappa: 0.7557, kb_relative_information_score: 376.972, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.884, predictive_accuracy: 0.8782, prior_entropy: 0.9891, recall: 0.8782, relative_absolute_error: 0.3206, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6503, scimark_benchmark: 1309.0674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8787, kappa: 0.7557, kb_relative_information_score: 376.972, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.884, predictive_accuracy: 0.8782, prior_entropy: 0.9891, recall: 0.8782, relative_absolute_error: 0.3206, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6503, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8073, kappa: 0.6082, kb_relative_information_score: 343.8587, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.8073, predictive_accuracy: 0.8073, prior_entropy: 0.9891, recall: 0.8073, relative_absolute_error: 0.3763, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3562, root_relative_squared_error: 0.7183, scimark_benchmark: 1310.3168,

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

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From your own software

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

OpenML APIs