OpenML
Supervised Classification on analcatdata_apnea1

Supervised Classification on analcatdata_apnea1

Task 4338 Supervised Classification analcatdata_apnea1 211 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.9431, kappa: 0.7415, kb_relative_information_score: 2656.4598, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9425, predictive_accuracy: 0.944, prior_entropy: 0.5574, recall: 0.944, relative_absolute_error: 0.3896, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.6422, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.9371, kappa: 0.7097, kb_relative_information_score: 706.2353, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9365, predictive_accuracy: 0.9394, prior_entropy: 0.5574, recall: 0.9394, relative_absolute_error: 0.7147, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.7212, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.9405, kappa: 0.7254, kb_relative_information_score: 2376.3637, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.94, predictive_accuracy: 0.9425, prior_entropy: 0.5574, recall: 0.9425, relative_absolute_error: 0.4619, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.6567, scimark_benchmark: 934.3687, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8118, kb_relative_information_score: 1272.1989, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.7597, predictive_accuracy: 0.8716, prior_entropy: 0.5574, recall: 0.8716, relative_absolute_error: 0.5707, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.3584, root_relative_squared_error: 1.0711, scimark_benchmark: 944.1067, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8118, kb_relative_information_score: 1272.1989, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.7597, predictive_accuracy: 0.8716, prior_entropy: 0.5574, recall: 0.8716, relative_absolute_error: 0.5707, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.3584, root_relative_squared_error: 1.0711, scimark_benchmark: 916.0735, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.9445, kappa: 0.7485, kb_relative_information_score: 2456.6457, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9439, predictive_accuracy: 0.9453, prior_entropy: 0.5574, recall: 0.9453, relative_absolute_error: 0.4528, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.6423, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.9445, kappa: 0.7485, kb_relative_information_score: 2456.6457, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9439, predictive_accuracy: 0.9453, prior_entropy: 0.5574, recall: 0.9453, relative_absolute_error: 0.4528, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.6423, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.938, kappa: 0.7178, kb_relative_information_score: 2652.0769, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9372, predictive_accuracy: 0.9392, prior_entropy: 0.5574, recall: 0.9392, relative_absolute_error: 0.3847, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.6354, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.9352, kappa: 0.7024, kb_relative_information_score: 2430.7885, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9344, predictive_accuracy: 0.9371, prior_entropy: 0.5574, recall: 0.9371, relative_absolute_error: 0.4467, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.6344, scimark_benchmark: 944.6801, usercpu_time_millis: 1770, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.9364, kappa: 0.7075, kb_relative_information_score: 2528.3252, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9356, predictive_accuracy: 0.9383, prior_entropy: 0.5574, recall: 0.9383, relative_absolute_error: 0.4244, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.6536, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8118, kb_relative_information_score: 1272.1989, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.7597, predictive_accuracy: 0.8716, prior_entropy: 0.5574, recall: 0.8716, relative_absolute_error: 0.5707, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.3584, root_relative_squared_error: 1.0711, scimark_benchmark: 941.3847, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8118, kb_relative_information_score: 1272.1989, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.7597, predictive_accuracy: 0.8716, prior_entropy: 0.5574, recall: 0.8716, relative_absolute_error: 0.5707, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.3584, root_relative_squared_error: 1.0711, scimark_benchmark: 941.3847, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.9234, kappa: 0.6302, kb_relative_information_score: 1885.8441, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9273, predictive_accuracy: 0.9305, prior_entropy: 0.5574, recall: 0.9305, relative_absolute_error: 0.5657, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.7108, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.9445, kappa: 0.7485, kb_relative_information_score: 2456.6457, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9439, predictive_accuracy: 0.9453, prior_entropy: 0.5574, recall: 0.9453, relative_absolute_error: 0.4528, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.6423, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.9445, kappa: 0.7485, kb_relative_information_score: 2456.6457, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9439, predictive_accuracy: 0.9453, prior_entropy: 0.5574, recall: 0.9453, relative_absolute_error: 0.4528, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.6423, scimark_benchmark: 947.1781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.9237, kappa: 0.6536, kb_relative_information_score: 2423.8559, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9228, predictive_accuracy: 0.9251, prior_entropy: 0.5574, recall: 0.9251, relative_absolute_error: 0.3884, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2412, root_relative_squared_error: 0.7208, scimark_benchmark: 947.1781, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.9431, kappa: 0.7415, kb_relative_information_score: 2656.4598, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9425, predictive_accuracy: 0.944, prior_entropy: 0.5574, recall: 0.944, relative_absolute_error: 0.3896, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.6422, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.9371, kappa: 0.7097, kb_relative_information_score: 706.2353, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9365, predictive_accuracy: 0.9394, prior_entropy: 0.5574, recall: 0.9394, relative_absolute_error: 0.7147, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.7212, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.9405, kappa: 0.7254, kb_relative_information_score: 2376.3637, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.94, predictive_accuracy: 0.9425, prior_entropy: 0.5574, recall: 0.9425, relative_absolute_error: 0.4619, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.6567, scimark_benchmark: 936.2574, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8118, kb_relative_information_score: 1272.1989, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.7597, predictive_accuracy: 0.8716, prior_entropy: 0.5574, recall: 0.8716, relative_absolute_error: 0.5707, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.3584, root_relative_squared_error: 1.0711, scimark_benchmark: 927.2882, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8118, kb_relative_information_score: 1272.1989, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.7597, predictive_accuracy: 0.8716, prior_entropy: 0.5574, recall: 0.8716, relative_absolute_error: 0.5707, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.3584, root_relative_squared_error: 1.0711, scimark_benchmark: 934.5964, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.9234, kappa: 0.6302, kb_relative_information_score: 1885.8441, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9273, predictive_accuracy: 0.9305, prior_entropy: 0.5574, recall: 0.9305, relative_absolute_error: 0.5657, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.7108, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.9445, kappa: 0.7485, kb_relative_information_score: 2456.6457, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9439, predictive_accuracy: 0.9453, prior_entropy: 0.5574, recall: 0.9453, relative_absolute_error: 0.4528, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.6423, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.9445, kappa: 0.7485, kb_relative_information_score: 2456.6457, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9439, predictive_accuracy: 0.9453, prior_entropy: 0.5574, recall: 0.9453, relative_absolute_error: 0.4528, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.6423, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.9445, kappa: 0.7485, kb_relative_information_score: 2456.6457, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9439, predictive_accuracy: 0.9453, prior_entropy: 0.5574, recall: 0.9453, relative_absolute_error: 0.4528, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.6423, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.938, kappa: 0.7178, kb_relative_information_score: 2652.0769, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9372, predictive_accuracy: 0.9392, prior_entropy: 0.5574, recall: 0.9392, relative_absolute_error: 0.3847, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.6354, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.9445, kappa: 0.7485, kb_relative_information_score: 2456.6457, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9439, predictive_accuracy: 0.9453, prior_entropy: 0.5574, recall: 0.9453, relative_absolute_error: 0.4528, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.6423, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.9364, kappa: 0.7075, kb_relative_information_score: 2528.3252, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9356, predictive_accuracy: 0.9383, prior_entropy: 0.5574, recall: 0.9383, relative_absolute_error: 0.4244, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.6536, scimark_benchmark: 932.438, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.9237, kappa: 0.6536, kb_relative_information_score: 2423.8559, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9228, predictive_accuracy: 0.9251, prior_entropy: 0.5574, recall: 0.9251, relative_absolute_error: 0.3884, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2412, root_relative_squared_error: 0.7208, scimark_benchmark: 901.4991, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.9341, kappa: 0.691, kb_relative_information_score: 2576.4085, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9343, predictive_accuracy: 0.9377, prior_entropy: 0.5574, recall: 0.9377, relative_absolute_error: 0.4355, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.6559, scimark_benchmark: 1171.0303, usercpu_time_millis: 1910, usercpu_time_millis_testing: 800, usercpu_time_millis_training: 1110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.933, kappa: 0.6855, kb_relative_information_score: 2580.8939, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9331, predictive_accuracy: 0.9366, prior_entropy: 0.5574, recall: 0.9366, relative_absolute_error: 0.4334, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.219, root_relative_squared_error: 0.6547, scimark_benchmark: 943.6618, usercpu_time_millis: 500, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.9351, kappa: 0.6961, kb_relative_information_score: 2587.2243, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9352, predictive_accuracy: 0.9385, prior_entropy: 0.5574, recall: 0.9385, relative_absolute_error: 0.433, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2195, root_relative_squared_error: 0.656, scimark_benchmark: 929.7512, usercpu_time_millis: 250, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.9333, kappa: 0.6871, kb_relative_information_score: 2562.3635, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9336, predictive_accuracy: 0.9371, prior_entropy: 0.5574, recall: 0.9371, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.6603, scimark_benchmark: 933.9, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, f_measure: 0.9331, kappa: 0.6851, kb_relative_information_score: 2551.0923, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9336, predictive_accuracy: 0.9371, prior_entropy: 0.5574, recall: 0.9371, relative_absolute_error: 0.4363, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.665, scimark_benchmark: 939.0589, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.909, kappa: 0.56, kb_relative_information_score: 1436.008, mean_absolute_error: 0.1324, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9109, predictive_accuracy: 0.9177, prior_entropy: 0.5574, recall: 0.9177, relative_absolute_error: 0.5883, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.7437, scimark_benchmark: 889.4922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.909, kappa: 0.56, kb_relative_information_score: 1436.008, mean_absolute_error: 0.1324, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9109, predictive_accuracy: 0.9177, prior_entropy: 0.5574, recall: 0.9177, relative_absolute_error: 0.5883, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.7437, scimark_benchmark: 889.4922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.909, kappa: 0.56, kb_relative_information_score: 1438.2768, mean_absolute_error: 0.1323, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9109, predictive_accuracy: 0.9177, prior_entropy: 0.5574, recall: 0.9177, relative_absolute_error: 0.588, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2487, root_relative_squared_error: 0.7434, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.9093, kappa: 0.5615, kb_relative_information_score: 1438.0907, mean_absolute_error: 0.1325, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9112, predictive_accuracy: 0.9179, prior_entropy: 0.5574, recall: 0.9179, relative_absolute_error: 0.5887, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2487, root_relative_squared_error: 0.7432, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.9237, kappa: 0.6536, kb_relative_information_score: 2423.8559, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9228, predictive_accuracy: 0.9251, prior_entropy: 0.5574, recall: 0.9251, relative_absolute_error: 0.3884, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2412, root_relative_squared_error: 0.7208, scimark_benchmark: 1342.6744, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.9234, kappa: 0.6302, kb_relative_information_score: 1885.8441, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9273, predictive_accuracy: 0.9305, prior_entropy: 0.5574, recall: 0.9305, relative_absolute_error: 0.5657, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.7108, scimark_benchmark: 1324.6442,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8118, kb_relative_information_score: 1272.1989, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.7597, predictive_accuracy: 0.8716, prior_entropy: 0.5574, recall: 0.8716, relative_absolute_error: 0.5707, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.3584, root_relative_squared_error: 1.0711, scimark_benchmark: 1316.5668, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.9234, kappa: 0.6302, kb_relative_information_score: 1885.8441, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9273, predictive_accuracy: 0.9305, prior_entropy: 0.5574, recall: 0.9305, relative_absolute_error: 0.5657, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.7108, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.9445, kappa: 0.7485, kb_relative_information_score: 2456.6457, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9439, predictive_accuracy: 0.9453, prior_entropy: 0.5574, recall: 0.9453, relative_absolute_error: 0.4528, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.6423, scimark_benchmark: 1342.8584, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.938, kappa: 0.7178, kb_relative_information_score: 2652.0769, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9372, predictive_accuracy: 0.9392, prior_entropy: 0.5574, recall: 0.9392, relative_absolute_error: 0.3847, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.6354, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.9352, kappa: 0.7024, kb_relative_information_score: 2430.7885, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9344, predictive_accuracy: 0.9371, prior_entropy: 0.5574, recall: 0.9371, relative_absolute_error: 0.4467, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.6344, scimark_benchmark: 1313.11, usercpu_time_millis: 570, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.9445, kappa: 0.7485, kb_relative_information_score: 2456.6457, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9439, predictive_accuracy: 0.9453, prior_entropy: 0.5574, recall: 0.9453, relative_absolute_error: 0.4528, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.6423, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.9445, kappa: 0.7485, kb_relative_information_score: 2456.6457, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9439, predictive_accuracy: 0.9453, prior_entropy: 0.5574, recall: 0.9453, relative_absolute_error: 0.4528, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.6423, scimark_benchmark: 1374.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.9445, kappa: 0.7485, kb_relative_information_score: 2456.6457, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9439, predictive_accuracy: 0.9453, prior_entropy: 0.5574, recall: 0.9453, relative_absolute_error: 0.4528, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.6423, scimark_benchmark: 1333.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.9445, kappa: 0.7485, kb_relative_information_score: 2456.6457, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9439, predictive_accuracy: 0.9453, prior_entropy: 0.5574, recall: 0.9453, relative_absolute_error: 0.4528, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.6423, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.9364, kappa: 0.7075, kb_relative_information_score: 2528.3252, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9356, predictive_accuracy: 0.9383, prior_entropy: 0.5574, recall: 0.9383, relative_absolute_error: 0.4244, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.6536, scimark_benchmark: 1320.8283, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.9237, kappa: 0.6536, kb_relative_information_score: 2423.8559, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9228, predictive_accuracy: 0.9251, prior_entropy: 0.5574, recall: 0.9251, relative_absolute_error: 0.3884, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2412, root_relative_squared_error: 0.7208, scimark_benchmark: 1354.5533, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.9431, kappa: 0.7415, kb_relative_information_score: 2656.4598, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9425, predictive_accuracy: 0.944, prior_entropy: 0.5574, recall: 0.944, relative_absolute_error: 0.3896, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.6422, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.9405, kappa: 0.7254, kb_relative_information_score: 2376.3637, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.94, predictive_accuracy: 0.9425, prior_entropy: 0.5574, recall: 0.9425, relative_absolute_error: 0.4619, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.6567, scimark_benchmark: 1325.3966, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.9338, kappa: 0.6954, kb_relative_information_score: 2225.3611, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.933, predictive_accuracy: 0.936, prior_entropy: 0.5574, recall: 0.936, relative_absolute_error: 0.4606, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.6752, scimark_benchmark: 1350.1007, usercpu_time_millis: 90, usercpu_time_millis_training: 90,

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