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OpenML
Task
Supervised Classification on autos

Supervised Classification on autos

Task 9 Supervised Classification autos 1382 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • basic study_1 study_107 study_41 study_73 under100k under1m
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Metric:

1382 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.6217, kappa: 0.5083, kb_relative_information_score: 113.1654, mean_absolute_error: 0.125, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6216, predictive_accuracy: 0.6244, prior_entropy: 2.3268, recall: 0.6244, relative_absolute_error: 0.5656, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2636, root_relative_squared_error: 0.7944, scimark_benchmark: 930.5999, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.6805, kappa: 0.5812, kb_relative_information_score: 125.1531, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6927, predictive_accuracy: 0.6732, prior_entropy: 2.3268, recall: 0.6732, relative_absolute_error: 0.4894, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.7812, scimark_benchmark: 939.5205, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6755, f_measure: 0.3353, kappa: 0.2158, kb_relative_information_score: 11.7394, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.2683, predictive_accuracy: 0.4537, prior_entropy: 2.3268, recall: 0.4537, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.327, root_relative_squared_error: 0.9858, scimark_benchmark: 944.5495, usercpu_time_millis: 140, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.685, kappa: 0.5992, kb_relative_information_score: 36.433, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6886, predictive_accuracy: 0.6927, prior_entropy: 2.3268, recall: 0.6927, relative_absolute_error: 0.9517, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.311, root_relative_squared_error: 0.9374, scimark_benchmark: 894.7222, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.7428, kappa: 0.6686, kb_relative_information_score: 133.1216, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7439, predictive_accuracy: 0.7463, prior_entropy: 2.3268, recall: 0.7463, relative_absolute_error: 0.4204, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.232, root_relative_squared_error: 0.6992, scimark_benchmark: 916.5955, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5131, f_measure: 0.2476, kappa: 0.025, kb_relative_information_score: 24.9423, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.2205, predictive_accuracy: 0.2829, prior_entropy: 2.3268, recall: 0.2829, relative_absolute_error: 0.9274, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4526, root_relative_squared_error: 1.3644, scimark_benchmark: 1250.8301, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5145, f_measure: 0.1997, kappa: 0.0308, kb_relative_information_score: 33.9415, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.3724, predictive_accuracy: 0.3463, prior_entropy: 2.3268, recall: 0.3463, relative_absolute_error: 0.8454, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4322, root_relative_squared_error: 1.3026, scimark_benchmark: 1368.9272, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.6528, kappa: 0.56, kb_relative_information_score: 125.6207, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6557, predictive_accuracy: 0.6585, prior_entropy: 2.3268, recall: 0.6585, relative_absolute_error: 0.4312, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.282, root_relative_squared_error: 0.8499, scimark_benchmark: 1306.6379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.7192, kappa: 0.6405, kb_relative_information_score: 134.2615, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7165, predictive_accuracy: 0.7268, prior_entropy: 2.3268, recall: 0.7268, relative_absolute_error: 0.3599, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2596, root_relative_squared_error: 0.7825, scimark_benchmark: 1368.9272, usercpu_time_millis: 470, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.8435, kappa: 0.7966, kb_relative_information_score: 138.8579, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8446, predictive_accuracy: 0.8439, prior_entropy: 2.3268, recall: 0.8439, relative_absolute_error: 0.4325, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.5874, scimark_benchmark: 1307.4861, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.7653, kappa: 0.694, kb_relative_information_score: 143.6269, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7734, predictive_accuracy: 0.7659, prior_entropy: 2.3268, recall: 0.7659, relative_absolute_error: 0.3086, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.7392, scimark_benchmark: 1280.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, f_measure: 0.5485, kappa: 0.422, kb_relative_information_score: 96.4633, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5447, predictive_accuracy: 0.561, prior_entropy: 2.3268, recall: 0.561, relative_absolute_error: 0.6269, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.29, root_relative_squared_error: 0.874, scimark_benchmark: 1280.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.7124, kappa: 0.6274, kb_relative_information_score: 133.1142, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7139, predictive_accuracy: 0.7122, prior_entropy: 2.3268, recall: 0.7122, relative_absolute_error: 0.4041, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.7951, scimark_benchmark: 1361.1055, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.7331, kappa: 0.6556, kb_relative_information_score: 136.1157, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7415, predictive_accuracy: 0.7366, prior_entropy: 2.3268, recall: 0.7366, relative_absolute_error: 0.3407, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.8269, scimark_benchmark: 1353.6735, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6036, f_measure: 0.3296, kappa: 0.1694, kb_relative_information_score: 20.4598, mean_absolute_error: 0.223, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.9692, predictive_accuracy: 0.2195, prior_entropy: 2.3268, recall: 0.2195, relative_absolute_error: 1.0094, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4722, root_relative_squared_error: 1.4234, scimark_benchmark: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.7165, kappa: 0.6327, kb_relative_information_score: 132.0963, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7171, predictive_accuracy: 0.7171, prior_entropy: 2.3268, recall: 0.7171, relative_absolute_error: 0.3931, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2642, root_relative_squared_error: 0.7963, scimark_benchmark: 1341.2341, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7492, f_measure: 0.6143, kappa: 0.5043, kb_relative_information_score: 106.4196, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6205, predictive_accuracy: 0.6293, prior_entropy: 2.3268, recall: 0.6293, relative_absolute_error: 0.4795, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.981, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, f_measure: 0.7563, kappa: 0.6842, kb_relative_information_score: 140.7252, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7627, predictive_accuracy: 0.7561, prior_entropy: 2.3268, recall: 0.7561, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.243, root_relative_squared_error: 0.7324, scimark_benchmark: 931.2336, usercpu_time_millis: 83970, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 83890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.7208, kappa: 0.6417, kb_relative_information_score: 133.4284, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7253, predictive_accuracy: 0.722, prior_entropy: 2.3268, recall: 0.722, relative_absolute_error: 0.3596, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2819, root_relative_squared_error: 0.8496, scimark_benchmark: 1028.5889, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4638, f_measure: 0.161, kb_relative_information_score: 0.2693, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.1068, predictive_accuracy: 0.3268, prior_entropy: 2.3268, recall: 0.3268, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3319, root_relative_squared_error: 1.0004, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.7991, kappa: 0.7385, kb_relative_information_score: 148.6216, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.803, predictive_accuracy: 0.8, prior_entropy: 2.3268, recall: 0.8, relative_absolute_error: 0.3064, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.6965, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.5557, kappa: 0.4343, kb_relative_information_score: 45.2497, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5736, predictive_accuracy: 0.5561, prior_entropy: 2.3268, recall: 0.5561, relative_absolute_error: 0.9125, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.312, root_relative_squared_error: 0.9405, scimark_benchmark: 942.6953, usercpu_time_millis: 100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.5482, kappa: 0.4235, kb_relative_information_score: 39.6733, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5683, predictive_accuracy: 0.5463, prior_entropy: 2.3268, recall: 0.5463, relative_absolute_error: 0.9464, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.9319, scimark_benchmark: 922.9039, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.5482, kappa: 0.4235, kb_relative_information_score: 39.6733, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5683, predictive_accuracy: 0.5463, prior_entropy: 2.3268, recall: 0.5463, relative_absolute_error: 0.9464, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.9319, scimark_benchmark: 911.0478, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.5482, kappa: 0.4235, kb_relative_information_score: 39.6733, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5683, predictive_accuracy: 0.5463, prior_entropy: 2.3268, recall: 0.5463, relative_absolute_error: 0.9464, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.9319, scimark_benchmark: 945.6434, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.3359, kappa: 0.2203, kb_relative_information_score: 49.5079, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.2667, predictive_accuracy: 0.4537, prior_entropy: 2.3268, recall: 0.4537, relative_absolute_error: 0.8771, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.9392, scimark_benchmark: 942.1229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.3359, kappa: 0.2203, kb_relative_information_score: 49.5079, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.2667, predictive_accuracy: 0.4537, prior_entropy: 2.3268, recall: 0.4537, relative_absolute_error: 0.8771, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.9392, scimark_benchmark: 938.4278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.3359, kappa: 0.2203, kb_relative_information_score: 49.5079, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.2667, predictive_accuracy: 0.4537, prior_entropy: 2.3268, recall: 0.4537, relative_absolute_error: 0.8771, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.9392, scimark_benchmark: 934.5243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.3359, kappa: 0.2203, kb_relative_information_score: 49.5079, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.2667, predictive_accuracy: 0.4537, prior_entropy: 2.3268, recall: 0.4537, relative_absolute_error: 0.8771, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.9392, scimark_benchmark: 939.7623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.3359, kappa: 0.2203, kb_relative_information_score: 49.5079, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.2667, predictive_accuracy: 0.4537, prior_entropy: 2.3268, recall: 0.4537, relative_absolute_error: 0.8771, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.9392, scimark_benchmark: 933.8635, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.7955, kappa: 0.7332, kb_relative_information_score: 154.9093, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7986, predictive_accuracy: 0.7951, prior_entropy: 2.3268, recall: 0.7951, relative_absolute_error: 0.2522, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.6758, scimark_benchmark: 938.9865, usercpu_time_millis: 740, usercpu_time_millis_training: 740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8246, kappa: 0.77, kb_relative_information_score: 157.6641, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8302, predictive_accuracy: 0.8244, prior_entropy: 2.3268, recall: 0.8244, relative_absolute_error: 0.2438, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.6342, scimark_benchmark: 924.6116, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.8352, kappa: 0.783, kb_relative_information_score: 155.9479, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8412, predictive_accuracy: 0.8341, prior_entropy: 2.3268, recall: 0.8341, relative_absolute_error: 0.2646, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.5987, scimark_benchmark: 932.3943, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, build_cpu_time: 0.0409, build_memory: 1801208392.2342, f_measure: 0.5482, kappa: 0.4235, kb_relative_information_score: 39.6733, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5683, predictive_accuracy: 0.5463, prior_entropy: 2.3268, recall: 0.5463, relative_absolute_error: 0.9464, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.9319, scimark_benchmark: 937.9119,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, build_cpu_time: 3.0402, build_memory: 24317440.5854, f_measure: 0.5649, kappa: 0.4269, kb_relative_information_score: 81.8889, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5807, predictive_accuracy: 0.5707, prior_entropy: 2.3268, recall: 0.5707, relative_absolute_error: 0.7203, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2777, root_relative_squared_error: 0.8369, scimark_benchmark: 923.9118,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, build_cpu_time: 6.0448, build_memory: 1261544628.2146, f_measure: 0.5856, kappa: 0.4535, kb_relative_information_score: 97.9112, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6026, predictive_accuracy: 0.5902, prior_entropy: 2.3268, recall: 0.5902, relative_absolute_error: 0.611, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.279, root_relative_squared_error: 0.8408, scimark_benchmark: 935.6292,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, build_cpu_time: 214.5142, build_memory: 72433953.9122, f_measure: 0.8039, kappa: 0.7447, kb_relative_information_score: 154.5259, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8079, predictive_accuracy: 0.8049, prior_entropy: 2.3268, recall: 0.8049, relative_absolute_error: 0.2507, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2346, root_relative_squared_error: 0.7072, scimark_benchmark: 925.7673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8837, build_cpu_time: 105.9647, build_memory: 759122453.8146, f_measure: 0.8084, kappa: 0.7505, kb_relative_information_score: 154.7419, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8131, predictive_accuracy: 0.8098, prior_entropy: 2.3268, recall: 0.8098, relative_absolute_error: 0.2474, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.233, root_relative_squared_error: 0.7024, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, build_cpu_time: 55.7023, build_memory: 70154649.4049, f_measure: 0.809, kappa: 0.7509, kb_relative_information_score: 155.4598, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8127, predictive_accuracy: 0.8098, prior_entropy: 2.3268, recall: 0.8098, relative_absolute_error: 0.2477, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.6951, scimark_benchmark: 889.6909,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, build_cpu_time: 13.522, build_memory: 674031817.7171, f_measure: 0.7906, kappa: 0.7266, kb_relative_information_score: 151.626, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7942, predictive_accuracy: 0.7902, prior_entropy: 2.3268, recall: 0.7902, relative_absolute_error: 0.2733, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.7097, scimark_benchmark: 933.4498,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, build_cpu_time: 5.4038, build_memory: 960475309.6976, f_measure: 0.8291, kappa: 0.777, kb_relative_information_score: 157.6316, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8339, predictive_accuracy: 0.8293, prior_entropy: 2.3268, recall: 0.8293, relative_absolute_error: 0.235, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.6539, scimark_benchmark: 938.1146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, build_cpu_time: 10.5822, build_memory: 561782695.3756, f_measure: 0.8239, kappa: 0.7709, kb_relative_information_score: 158.8177, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.828, predictive_accuracy: 0.8244, prior_entropy: 2.3268, recall: 0.8244, relative_absolute_error: 0.2239, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.6489, scimark_benchmark: 920.2874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, build_cpu_time: 22.2743, build_memory: 316344802.4195, f_measure: 0.8385, kappa: 0.79, kb_relative_information_score: 160.5413, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8439, predictive_accuracy: 0.839, prior_entropy: 2.3268, recall: 0.839, relative_absolute_error: 0.2138, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.6412, scimark_benchmark: 924.2473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, build_cpu_time: 0.8408, build_memory: 694259827.5122, f_measure: 0.8299, kappa: 0.7758, kb_relative_information_score: 160.6667, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8391, predictive_accuracy: 0.8293, prior_entropy: 2.3268, recall: 0.8293, relative_absolute_error: 0.2194, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.6504, scimark_benchmark: 919.5971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, build_cpu_time: 0.4074, build_memory: 495742189.5415, f_measure: 0.8346, kappa: 0.7822, kb_relative_information_score: 161.4313, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.841, predictive_accuracy: 0.8341, prior_entropy: 2.3268, recall: 0.8341, relative_absolute_error: 0.2164, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.6383, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, build_cpu_time: 0.2592, build_memory: 1070649092.3317, f_measure: 0.8153, kappa: 0.7574, kb_relative_information_score: 158.4179, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8188, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.2351, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.6504, scimark_benchmark: 934.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, build_cpu_time: 0.0514, build_memory: 1088407060.0976, f_measure: 0.8483, kappa: 0.8028, kb_relative_information_score: 167.5286, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8513, predictive_accuracy: 0.8488, prior_entropy: 2.3268, recall: 0.8488, relative_absolute_error: 0.1864, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.587, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, build_cpu_time: 0.0927, build_memory: 245444507.9805, f_measure: 0.8773, kappa: 0.8412, kb_relative_information_score: 173.1982, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8812, predictive_accuracy: 0.878, prior_entropy: 2.3268, recall: 0.878, relative_absolute_error: 0.1551, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.541, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, build_cpu_time: 0.1889, build_memory: 662999440.6634, f_measure: 0.8683, kappa: 0.828, kb_relative_information_score: 169.3758, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8733, predictive_accuracy: 0.8683, prior_entropy: 2.3268, recall: 0.8683, relative_absolute_error: 0.1723, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.5841, scimark_benchmark: 939.0159,

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