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: 0.9118, 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: 1314.1215,
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: 1354.7111,
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: 1317.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.9085, kappa: 0.5518, kb_relative_information_score: 1791.8563, mean_absolute_error: 0.1321, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9138, predictive_accuracy: 0.9189, prior_entropy: 0.5574, recall: 0.9189, relative_absolute_error: 0.5871, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.239, root_relative_squared_error: 0.7142, scimark_benchmark: 1348.2804,
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: 1344.3159, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
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: 1350.4825, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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: 1322.3461, 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: 1260.1387,
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: 1260.1387, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, 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: 940.3347, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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: 1335.5424,
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: 1341.5795,
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: 938.0414,
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: 1347.993,
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: 1345.7204,
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: 1295.0797,
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: 933.1165,
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: 926.6704,
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: 1354.3488,
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: 1322.7383,
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: 1343.2125,
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: 1151.6869,
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: 1349.7981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.9304, kappa: 0.6833, kb_relative_information_score: 2443.3884, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9295, predictive_accuracy: 0.9318, prior_entropy: 0.5574, recall: 0.9318, relative_absolute_error: 0.3954, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2403, root_relative_squared_error: 0.7183, scimark_benchmark: 1328.941, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1339.9935, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.8188, kappa: 0.0393, kb_relative_information_score: 1203.916, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.8903, predictive_accuracy: 0.8745, prior_entropy: 0.5574, recall: 0.8745, relative_absolute_error: 0.799, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2749, root_relative_squared_error: 0.8217, scimark_benchmark: 1329.8902, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.8875, kappa: 0.4261, kb_relative_information_score: 1415.3966, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9141, predictive_accuracy: 0.9091, prior_entropy: 0.5574, recall: 0.9091, relative_absolute_error: 0.6991, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.7662, scimark_benchmark: 1307.8606, usercpu_time_millis: 170, usercpu_time_millis_testing: 170,
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: 883.2709, 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: 1347.1946, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.8118, kb_relative_information_score: 1214.0886, mean_absolute_error: 0.1803, 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: 0.8011, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.8211, scimark_benchmark: 1307.3764, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.9378, kappa: 0.7174, kb_relative_information_score: 2693.1949, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9371, predictive_accuracy: 0.9389, prior_entropy: 0.5574, recall: 0.9389, relative_absolute_error: 0.3802, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.6328, scimark_benchmark: 1325.2932, 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: 1354.8751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.9393, kappa: 0.7244, kb_relative_information_score: 2209.0071, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9386, predictive_accuracy: 0.9402, prior_entropy: 0.5574, recall: 0.9402, relative_absolute_error: 0.4716, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.6619, scimark_benchmark: 882.7843, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.9428, kappa: 0.7343, kb_relative_information_score: 2719.8462, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9428, predictive_accuracy: 0.9453, prior_entropy: 0.5574, recall: 0.9453, relative_absolute_error: 0.3631, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.6372, scimark_benchmark: 1308.3432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.827, kappa: 0.0854, kb_relative_information_score: 1227.2048, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.8931, predictive_accuracy: 0.8781, prior_entropy: 0.5574, recall: 0.8781, relative_absolute_error: 0.7924, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2733, root_relative_squared_error: 0.8168, scimark_benchmark: 1064.8317, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.8278, kappa: 0.0907, kb_relative_information_score: 1140.7751, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.877, predictive_accuracy: 0.8777, prior_entropy: 0.5574, recall: 0.8777, relative_absolute_error: 0.8042, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2785, root_relative_squared_error: 0.8324, scimark_benchmark: 1413.089,
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: 1346.4887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.8312, kappa: 0.109, kb_relative_information_score: 1972.5958, mean_absolute_error: 0.1321, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.8945, predictive_accuracy: 0.88, prior_entropy: 0.5574, recall: 0.88, relative_absolute_error: 0.5872, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.7641, scimark_benchmark: 1064.8317, usercpu_time_millis: 100, usercpu_time_millis_testing: 100,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.8677, kappa: 0.3237, kb_relative_information_score: 1407.0189, mean_absolute_error: 0.1441, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.8829, predictive_accuracy: 0.8935, prior_entropy: 0.5574, recall: 0.8935, relative_absolute_error: 0.6405, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2561, root_relative_squared_error: 0.7654, scimark_benchmark: 937.1527, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.8656, kappa: 0.3108, kb_relative_information_score: 1171.822, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.8832, predictive_accuracy: 0.8928, prior_entropy: 0.5574, recall: 0.8928, relative_absolute_error: 0.6762, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2636, root_relative_squared_error: 0.7878, scimark_benchmark: 1318.1432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.9382, kappa: 0.7163, kb_relative_information_score: 2376.5858, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9375, predictive_accuracy: 0.94, prior_entropy: 0.5574, recall: 0.94, relative_absolute_error: 0.3639, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.6633, scimark_benchmark: 933.3136, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.9354, kappa: 0.699, kb_relative_information_score: 2414.1641, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9351, predictive_accuracy: 0.9383, prior_entropy: 0.5574, recall: 0.9383, relative_absolute_error: 0.3565, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.6914, scimark_benchmark: 942.9518, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.9274, kappa: 0.6843, kb_relative_information_score: 2716.4523, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9301, predictive_accuracy: 0.9255, prior_entropy: 0.5574, recall: 0.9255, relative_absolute_error: 0.3312, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.273, root_relative_squared_error: 0.816, scimark_benchmark: 889.3151, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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: 1331.6907, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.925, kappa: 0.6723, kb_relative_information_score: 2660.0361, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9272, predictive_accuracy: 0.9234, prior_entropy: 0.5574, recall: 0.9234, relative_absolute_error: 0.3406, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.8274, scimark_benchmark: 1287.514, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.9343, kappa: 0.6968, kb_relative_information_score: 2052.4883, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9336, predictive_accuracy: 0.9366, prior_entropy: 0.5574, recall: 0.9366, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.6763, scimark_benchmark: 918.6005, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.842, f_measure: 0.9334, kappa: 0.6991, kb_relative_information_score: 2947.7585, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9328, predictive_accuracy: 0.9341, prior_entropy: 0.5574, recall: 0.9341, relative_absolute_error: 0.2928, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2567, root_relative_squared_error: 0.7673, scimark_benchmark: 938.343, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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: 939.9176, usercpu_time_millis: 1260, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.9445, kappa: 0.7485, kb_relative_information_score: 2591.1288, mean_absolute_error: 0.089, 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: 0.3956, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.6349, scimark_benchmark: 1028.5889,
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: 1318.5526, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.9171, kappa: 0.6241, kb_relative_information_score: 2385.3157, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9161, predictive_accuracy: 0.9183, prior_entropy: 0.5574, recall: 0.9183, relative_absolute_error: 0.3779, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2851, root_relative_squared_error: 0.8523, scimark_benchmark: 1315.0767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.9423, kappa: 0.7365, kb_relative_information_score: 2679.2298, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9416, predictive_accuracy: 0.9436, prior_entropy: 0.5574, recall: 0.9436, relative_absolute_error: 0.3802, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.6393, scimark_benchmark: 1306.6379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.9313, kappa: 0.6964, kb_relative_information_score: 2514.4819, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9322, predictive_accuracy: 0.9305, prior_entropy: 0.5574, recall: 0.9305, relative_absolute_error: 0.4231, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.6914, scimark_benchmark: 1318.1432, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.9226, kappa: 0.6493, kb_relative_information_score: 2671.3193, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9217, predictive_accuracy: 0.9238, prior_entropy: 0.5574, recall: 0.9238, relative_absolute_error: 0.3387, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2761, root_relative_squared_error: 0.8251, scimark_benchmark: 1280.6952, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5396, f_measure: 0.7074, kappa: 0.049, kb_relative_information_score: -4516.0978, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.791, predictive_accuracy: 0.6556, prior_entropy: 0.5574, recall: 0.6556, relative_absolute_error: 1.5307, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.5869, root_relative_squared_error: 1.7542, scimark_benchmark: 1317.1452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.9316, kappa: 0.6818, kb_relative_information_score: 2653.9228, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9311, predictive_accuracy: 0.9347, prior_entropy: 0.5574, recall: 0.9347, relative_absolute_error: 0.3794, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.6707, scimark_benchmark: 1330.0803,
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: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, f_measure: 0.9322, kappa: 0.6802, kb_relative_information_score: 3009.8162, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9329, predictive_accuracy: 0.9364, prior_entropy: 0.5574, recall: 0.9364, relative_absolute_error: 0.2826, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2521, root_relative_squared_error: 0.7537, scimark_benchmark: 1341.2341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4898, f_measure: 0.8118, kb_relative_information_score: -22.9862, mean_absolute_error: 0.2252, 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: 1.0006, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.3346, root_relative_squared_error: 1, scimark_benchmark: 1503.3362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.9429, kappa: 0.7347, kb_relative_information_score: 2719.8462, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9428, predictive_accuracy: 0.9453, prior_entropy: 0.5574, recall: 0.9453, relative_absolute_error: 0.3631, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.213, root_relative_squared_error: 0.6368, scimark_benchmark: 1445.6675,

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