Task
Supervised Classification on physionet_asystole

Supervised Classification on physionet_asystole

Task 7394 Supervised Classification physionet_asystole 378 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.9284, kappa: 0.7273, kb_relative_information_score: 511.0624, mean_absolute_error: 0.1639, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9331, predictive_accuracy: 0.9333, prior_entropy: 0.6626, recall: 0.9333, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2523, root_relative_squared_error: 0.6768, scimark_benchmark: 926.8585, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.9213, kappa: 0.7, kb_relative_information_score: 510.5779, mean_absolute_error: 0.1639, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9252, predictive_accuracy: 0.9267, prior_entropy: 0.6626, recall: 0.9267, relative_absolute_error: 0.5824, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2542, root_relative_squared_error: 0.6821, scimark_benchmark: 952.3393, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.9152, kappa: 0.6751, kb_relative_information_score: 513.7517, mean_absolute_error: 0.1623, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.92, predictive_accuracy: 0.9217, prior_entropy: 0.6626, recall: 0.9217, relative_absolute_error: 0.5767, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.256, root_relative_squared_error: 0.6869, scimark_benchmark: 946.8777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.9361, kappa: 0.7683, kb_relative_information_score: 847.4598, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9358, predictive_accuracy: 0.9367, prior_entropy: 0.6626, recall: 0.9367, relative_absolute_error: 0.228, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.6569, scimark_benchmark: 946.8777, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.9394, kappa: 0.7796, kb_relative_information_score: 843.0738, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.939, predictive_accuracy: 0.94, prior_entropy: 0.6626, recall: 0.94, relative_absolute_error: 0.2367, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.6134, scimark_benchmark: 936.5648, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.9377, kappa: 0.7735, kb_relative_information_score: 848.2701, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9373, predictive_accuracy: 0.9383, prior_entropy: 0.6626, recall: 0.9383, relative_absolute_error: 0.2296, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2372, root_relative_squared_error: 0.6365, scimark_benchmark: 944.5341, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.9327, kappa: 0.7526, kb_relative_information_score: 753.895, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9322, predictive_accuracy: 0.9342, prior_entropy: 0.6626, recall: 0.9342, relative_absolute_error: 0.3096, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2215, root_relative_squared_error: 0.5942, scimark_benchmark: 890.5596, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.9407, kappa: 0.7831, kb_relative_information_score: 817.258, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9403, predictive_accuracy: 0.9417, prior_entropy: 0.6626, recall: 0.9417, relative_absolute_error: 0.2605, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.5923, scimark_benchmark: 946.6409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.9358, kappa: 0.7583, kb_relative_information_score: 580.0931, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9381, predictive_accuracy: 0.9392, prior_entropy: 0.6626, recall: 0.9392, relative_absolute_error: 0.5037, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2409, root_relative_squared_error: 0.6463, scimark_benchmark: 936.5648, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.9358, kappa: 0.7608, kb_relative_information_score: 569.6016, mean_absolute_error: 0.1411, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9365, predictive_accuracy: 0.9383, prior_entropy: 0.6626, recall: 0.9383, relative_absolute_error: 0.5015, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2428, root_relative_squared_error: 0.6515, scimark_benchmark: 936.5648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, f_measure: 0.9394, kappa: 0.7796, kb_relative_information_score: 862.9979, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.939, predictive_accuracy: 0.94, prior_entropy: 0.6626, recall: 0.94, relative_absolute_error: 0.2181, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.6458, scimark_benchmark: 946.8777, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.9307, kappa: 0.7396, kb_relative_information_score: 568.6917, mean_absolute_error: 0.1415, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9323, predictive_accuracy: 0.9342, prior_entropy: 0.6626, recall: 0.9342, relative_absolute_error: 0.5028, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2467, root_relative_squared_error: 0.662, scimark_benchmark: 952.3393, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.9277, kappa: 0.7319, kb_relative_information_score: 741.3101, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9274, predictive_accuracy: 0.93, prior_entropy: 0.6626, recall: 0.93, relative_absolute_error: 0.3443, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.7025, scimark_benchmark: 890.5596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.9424, kappa: 0.7893, kb_relative_information_score: 858.1335, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.942, predictive_accuracy: 0.9433, prior_entropy: 0.6626, recall: 0.9433, relative_absolute_error: 0.2213, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.6112, scimark_benchmark: 926.8585, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.9355, kappa: 0.7635, kb_relative_information_score: 833.2185, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.935, predictive_accuracy: 0.9367, prior_entropy: 0.6626, recall: 0.9367, relative_absolute_error: 0.2399, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.6103, scimark_benchmark: 944.5341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.9389, kappa: 0.7857, kb_relative_information_score: 645.4, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9416, predictive_accuracy: 0.9375, prior_entropy: 0.6626, recall: 0.9375, relative_absolute_error: 0.3758, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.6394, scimark_benchmark: 944.5341, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.9072, kappa: 0.665, kb_relative_information_score: 513.4003, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.907, predictive_accuracy: 0.9075, prior_entropy: 0.6626, recall: 0.9075, relative_absolute_error: 0.4951, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.6915, scimark_benchmark: 890.5596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7576, kb_relative_information_score: 329.0596, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.6944, predictive_accuracy: 0.8333, prior_entropy: 0.6626, recall: 0.8333, relative_absolute_error: 0.5922, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.0953, scimark_benchmark: 946.8777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7115, f_measure: 0.8488, kappa: 0.4434, kb_relative_information_score: 426.6388, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.846, predictive_accuracy: 0.8525, prior_entropy: 0.6626, recall: 0.8525, relative_absolute_error: 0.5241, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3841, root_relative_squared_error: 1.0304, scimark_benchmark: 944.5341, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.8937, kappa: 0.6049, kb_relative_information_score: 513.9322, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.8922, predictive_accuracy: 0.8975, prior_entropy: 0.6626, recall: 0.8975, relative_absolute_error: 0.5145, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2598, root_relative_squared_error: 0.6971, scimark_benchmark: 936.5648, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.7554, kappa: 0.0015, kb_relative_information_score: 214.5101, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.723, predictive_accuracy: 0.8108, prior_entropy: 0.6626, recall: 0.8108, relative_absolute_error: 0.6722, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4349, root_relative_squared_error: 1.1669, scimark_benchmark: 926.8585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.8635, kappa: 0.4769, kb_relative_information_score: 317.4446, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.8622, predictive_accuracy: 0.8742, prior_entropy: 0.6626, recall: 0.8742, relative_absolute_error: 0.6625, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.8258, scimark_benchmark: 946.8777, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6965, f_measure: 0.8473, kappa: 0.4281, kb_relative_information_score: 435.1239, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.8433, predictive_accuracy: 0.8542, prior_entropy: 0.6626, recall: 0.8542, relative_absolute_error: 0.5182, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3819, root_relative_squared_error: 1.0246, scimark_benchmark: 952.3393, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7775, f_measure: 0.8971, kappa: 0.6126, kb_relative_information_score: 681.1932, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.8966, predictive_accuracy: 0.9025, prior_entropy: 0.6626, recall: 0.9025, relative_absolute_error: 0.3465, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.8378, scimark_benchmark: 926.8585, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.9087, kappa: 0.6754, kb_relative_information_score: 655.2304, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9101, predictive_accuracy: 0.9075, prior_entropy: 0.6626, recall: 0.9075, relative_absolute_error: 0.3899, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.705, scimark_benchmark: 952.3393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.9305, kappa: 0.7485, kb_relative_information_score: 723.1491, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9302, predictive_accuracy: 0.9308, prior_entropy: 0.6626, recall: 0.9308, relative_absolute_error: 0.3447, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.6215, scimark_benchmark: 892.0761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.9329, kappa: 0.7571, kb_relative_information_score: 722.6568, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9326, predictive_accuracy: 0.9333, prior_entropy: 0.6626, recall: 0.9333, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.6242, scimark_benchmark: 890.5596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.9358, kappa: 0.7632, kb_relative_information_score: 773.0087, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9355, predictive_accuracy: 0.9375, prior_entropy: 0.6626, recall: 0.9375, relative_absolute_error: 0.3263, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2402, root_relative_squared_error: 0.6446, scimark_benchmark: 946.6409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.8546, kappa: 0.4691, kb_relative_information_score: 436.6662, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.8528, predictive_accuracy: 0.8567, prior_entropy: 0.6626, recall: 0.8567, relative_absolute_error: 0.5142, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.8401, scimark_benchmark: 951.5389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.8539, kappa: 0.4671, kb_relative_information_score: 439.7249, mean_absolute_error: 0.1445, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.8522, predictive_accuracy: 0.8558, prior_entropy: 0.6626, recall: 0.8558, relative_absolute_error: 0.5136, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.8392, scimark_benchmark: 952.3393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, f_measure: 0.8523, kappa: 0.4392, kb_relative_information_score: 473.3071, mean_absolute_error: 0.1383, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.8487, predictive_accuracy: 0.8617, prior_entropy: 0.6626, recall: 0.8617, relative_absolute_error: 0.4916, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.9979, scimark_benchmark: 952.3393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.9035, kappa: 0.6501, kb_relative_information_score: 631.87, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9029, predictive_accuracy: 0.9042, prior_entropy: 0.6626, recall: 0.9042, relative_absolute_error: 0.3974, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.7369, scimark_benchmark: 944.5341, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.9035, kappa: 0.6501, kb_relative_information_score: 631.87, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9029, predictive_accuracy: 0.9042, prior_entropy: 0.6626, recall: 0.9042, relative_absolute_error: 0.3974, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.7369, scimark_benchmark: 952.3393, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.8352, kappa: 0.3632, kb_relative_information_score: 134.3032, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.831, predictive_accuracy: 0.85, prior_entropy: 0.6626, recall: 0.85, relative_absolute_error: 0.8145, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.316, root_relative_squared_error: 0.8479, scimark_benchmark: 926.8585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6965, f_measure: 0.8473, kappa: 0.4281, kb_relative_information_score: 435.1239, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.8433, predictive_accuracy: 0.8542, prior_entropy: 0.6626, recall: 0.8542, relative_absolute_error: 0.5182, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3819, root_relative_squared_error: 1.0246, scimark_benchmark: 890.5596, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8525, kappa: 0.4477, kb_relative_information_score: 308.805, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.8489, predictive_accuracy: 0.8592, prior_entropy: 0.6626, recall: 0.8592, relative_absolute_error: 0.6378, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.8576, scimark_benchmark: 926.8585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.9293, kappa: 0.7401, kb_relative_information_score: 820.53, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9287, predictive_accuracy: 0.9308, prior_entropy: 0.6626, recall: 0.9308, relative_absolute_error: 0.2623, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.228, root_relative_squared_error: 0.6118, scimark_benchmark: 926.8585, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.9, kappa: 0.64, kb_relative_information_score: 592.6317, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9, predictive_accuracy: 0.9, prior_entropy: 0.6626, recall: 0.9, relative_absolute_error: 0.4543, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2683, root_relative_squared_error: 0.7198, scimark_benchmark: 936.5648, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.9105, kappa: 0.701, kb_relative_information_score: 693.9209, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9242, predictive_accuracy: 0.905, prior_entropy: 0.6626, recall: 0.905, relative_absolute_error: 0.3376, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3082, root_relative_squared_error: 0.827, scimark_benchmark: 944.5341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.9105, kappa: 0.701, kb_relative_information_score: 674.5918, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9242, predictive_accuracy: 0.905, prior_entropy: 0.6626, recall: 0.905, relative_absolute_error: 0.3637, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3055, root_relative_squared_error: 0.8198, scimark_benchmark: 936.5648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7367, f_measure: 0.8367, kappa: 0.3929, kb_relative_information_score: 242.8319, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.8326, predictive_accuracy: 0.8425, prior_entropy: 0.6626, recall: 0.8425, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.35, root_relative_squared_error: 0.9391, scimark_benchmark: 952.3393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.9121, kappa: 0.679, kb_relative_information_score: 654.606, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9112, predictive_accuracy: 0.9133, prior_entropy: 0.6626, recall: 0.9133, relative_absolute_error: 0.3811, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.7383, scimark_benchmark: 944.5341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.9328, kappa: 0.7561, kb_relative_information_score: 719.4021, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9324, predictive_accuracy: 0.9333, prior_entropy: 0.6626, recall: 0.9333, relative_absolute_error: 0.3533, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.222, root_relative_squared_error: 0.5957, scimark_benchmark: 890.5596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7668, f_measure: 0.8492, kappa: 0.4736, kb_relative_information_score: 310.9605, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.8547, predictive_accuracy: 0.845, prior_entropy: 0.6626, recall: 0.845, relative_absolute_error: 0.6326, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.8852, scimark_benchmark: 926.8585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.8499, kappa: 0.445, kb_relative_information_score: 401.7563, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.8468, predictive_accuracy: 0.8542, prior_entropy: 0.6626, recall: 0.8542, relative_absolute_error: 0.5501, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.8519, scimark_benchmark: 952.3393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7308, f_measure: 0.917, kappa: 0.691, kb_relative_information_score: 698.436, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9165, predictive_accuracy: 0.92, prior_entropy: 0.6626, recall: 0.92, relative_absolute_error: 0.3735, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.7438, scimark_benchmark: 946.6409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.9272, kappa: 0.7402, kb_relative_information_score: 740.0934, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9279, predictive_accuracy: 0.9267, prior_entropy: 0.6626, recall: 0.9267, relative_absolute_error: 0.3321, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.242, root_relative_squared_error: 0.6493, scimark_benchmark: 952.3393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.9295, kappa: 0.7475, kb_relative_information_score: 704.2717, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9299, predictive_accuracy: 0.9292, prior_entropy: 0.6626, recall: 0.9292, relative_absolute_error: 0.3534, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.6507, scimark_benchmark: 946.6409, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.9262, kappa: 0.7328, kb_relative_information_score: 697.2717, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9258, predictive_accuracy: 0.9267, prior_entropy: 0.6626, recall: 0.9267, relative_absolute_error: 0.3708, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2457, root_relative_squared_error: 0.6593, scimark_benchmark: 936.5648, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.9, kappa: 0.64, kb_relative_information_score: 659.9709, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9, predictive_accuracy: 0.9, prior_entropy: 0.6626, recall: 0.9, relative_absolute_error: 0.359, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3101, root_relative_squared_error: 0.8319, scimark_benchmark: 936.5648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.9019, kappa: 0.6362, kb_relative_information_score: 562.7524, mean_absolute_error: 0.1366, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9006, predictive_accuracy: 0.905, prior_entropy: 0.6626, recall: 0.905, relative_absolute_error: 0.4854, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2833, root_relative_squared_error: 0.7601, scimark_benchmark: 936.5648,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.8635, kappa: 0.4769, kb_relative_information_score: 317.4446, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.8622, predictive_accuracy: 0.8742, prior_entropy: 0.6626, recall: 0.8742, relative_absolute_error: 0.6625, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.8258, scimark_benchmark: 947.1628, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9366, kappa: 0.7658, kb_relative_information_score: 811.616, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9364, predictive_accuracy: 0.9383, prior_entropy: 0.6626, recall: 0.9383, relative_absolute_error: 0.2554, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.228, root_relative_squared_error: 0.6117, scimark_benchmark: 858.1405, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.9554, kappa: 0.8354, kb_relative_information_score: 706.394, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9559, predictive_accuracy: 0.9567, prior_entropy: 0.6626, recall: 0.9567, relative_absolute_error: 0.3585, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.5818, scimark_benchmark: 941.7161, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.8352, kappa: 0.3632, kb_relative_information_score: 134.3032, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.831, predictive_accuracy: 0.85, prior_entropy: 0.6626, recall: 0.85, relative_absolute_error: 0.8145, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.316, root_relative_squared_error: 0.8479, scimark_benchmark: 858.1405, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.9205, kappa: 0.7099, kb_relative_information_score: 751.4991, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9198, predictive_accuracy: 0.9217, prior_entropy: 0.6626, recall: 0.9217, relative_absolute_error: 0.3056, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2687, root_relative_squared_error: 0.7209, scimark_benchmark: 933.5262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.9205, kappa: 0.7099, kb_relative_information_score: 751.4991, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9198, predictive_accuracy: 0.9217, prior_entropy: 0.6626, recall: 0.9217, relative_absolute_error: 0.3056, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2687, root_relative_squared_error: 0.7209, scimark_benchmark: 941.7763, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.774, f_measure: 0.884, kappa: 0.5732, kb_relative_information_score: 600.5843, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.8822, predictive_accuracy: 0.8867, prior_entropy: 0.6626, recall: 0.8867, relative_absolute_error: 0.4027, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.9032, scimark_benchmark: 933.7673, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8797, f_measure: 0.8525, kappa: 0.4477, kb_relative_information_score: 309.0198, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.8489, predictive_accuracy: 0.8592, prior_entropy: 0.6626, recall: 0.8592, relative_absolute_error: 0.6373, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.8584, scimark_benchmark: 941.4109, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, f_measure: 0.8722, kappa: 0.5788, kb_relative_information_score: -557.2535, mean_absolute_error: 0.3236, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.8908, predictive_accuracy: 0.8633, prior_entropy: 0.6626, recall: 0.8633, relative_absolute_error: 1.1498, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.9803, scimark_benchmark: 902.7704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, f_measure: 0.8919, kappa: 0.5927, kb_relative_information_score: 655.7378, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.891, predictive_accuracy: 0.8975, prior_entropy: 0.6626, recall: 0.8975, relative_absolute_error: 0.3642, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.859, scimark_benchmark: 942.4909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8908, kappa: 0.5885, kb_relative_information_score: 461.5566, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.8899, predictive_accuracy: 0.8967, prior_entropy: 0.6626, recall: 0.8967, relative_absolute_error: 0.5544, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.7455, scimark_benchmark: 900.6775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.7576, kb_relative_information_score: -902.3889, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.6944, predictive_accuracy: 0.8333, prior_entropy: 0.6626, recall: 0.8333, relative_absolute_error: 1.3003, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3922, root_relative_squared_error: 1.0523, scimark_benchmark: 947.1628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7576, kb_relative_information_score: -6.0196, mean_absolute_error: 0.2818, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.6944, predictive_accuracy: 0.8333, prior_entropy: 0.6626, recall: 0.8333, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3727, root_relative_squared_error: 1, scimark_benchmark: 937.2413, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.9212, kappa: 0.7146, kb_relative_information_score: 598.065, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9208, predictive_accuracy: 0.9217, prior_entropy: 0.6626, recall: 0.9217, relative_absolute_error: 0.4337, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2566, root_relative_squared_error: 0.6885, scimark_benchmark: 941.4109, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8168, f_measure: 0.9177, kappa: 0.6962, kb_relative_information_score: 696.9466, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9169, predictive_accuracy: 0.92, prior_entropy: 0.6626, recall: 0.92, relative_absolute_error: 0.367, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2745, root_relative_squared_error: 0.7366, scimark_benchmark: 942.7551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6595, f_measure: 0.8403, kappa: 0.3807, kb_relative_information_score: 443.6091, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.8377, predictive_accuracy: 0.8558, prior_entropy: 0.6626, recall: 0.8558, relative_absolute_error: 0.5123, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3797, root_relative_squared_error: 1.0187, scimark_benchmark: 933.799, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.803, f_measure: 0.8838, kappa: 0.5833, kb_relative_information_score: 514.6408, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.8843, predictive_accuracy: 0.8833, prior_entropy: 0.6626, recall: 0.8833, relative_absolute_error: 0.5022, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.862, scimark_benchmark: 858.1405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.8726, kappa: 0.5548, kb_relative_information_score: 468.3912, mean_absolute_error: 0.1415, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.8774, predictive_accuracy: 0.8692, prior_entropy: 0.6626, recall: 0.8692, relative_absolute_error: 0.5027, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.345, root_relative_squared_error: 0.9256, scimark_benchmark: 899.6328, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7815, f_measure: 0.8869, kappa: 0.5852, kb_relative_information_score: 613.312, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.8854, predictive_accuracy: 0.8892, prior_entropy: 0.6626, recall: 0.8892, relative_absolute_error: 0.3938, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.8932, scimark_benchmark: 933.7673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.9033, kappa: 0.6487, kb_relative_information_score: 689.6783, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9025, predictive_accuracy: 0.9042, prior_entropy: 0.6626, recall: 0.9042, relative_absolute_error: 0.3405, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3096, root_relative_squared_error: 0.8306, scimark_benchmark: 858.1405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7576, kb_relative_information_score: -6.0196, mean_absolute_error: 0.2818, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.6944, predictive_accuracy: 0.8333, prior_entropy: 0.6626, recall: 0.8333, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3727, root_relative_squared_error: 1, scimark_benchmark: 925.2569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7289, f_measure: 0.9147, kappa: 0.6834, kb_relative_information_score: 685.6018, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.2814, number_of_instances: 1200, precision: 0.9139, predictive_accuracy: 0.9175, prior_entropy: 0.6626, recall: 0.9175, relative_absolute_error: 0.3825, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2815, root_relative_squared_error: 0.7552, scimark_benchmark: 947.1628, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs