OpenML
Supervised Classification on AP_Breast_Lung

Supervised Classification on AP_Breast_Lung

Task 3984 Supervised Classification AP_Breast_Lung 64 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.9194, kappa: 0.7904, kb_relative_information_score: 332.2551, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9207, predictive_accuracy: 0.9213, prior_entropy: 0.8401, recall: 0.9213, relative_absolute_error: 0.2881, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.5787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.9463, kappa: 0.862, kb_relative_information_score: 391.454, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9464, predictive_accuracy: 0.9468, prior_entropy: 0.8401, recall: 0.9468, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.228, root_relative_squared_error: 0.5148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.9484, kappa: 0.8672, kb_relative_information_score: 373.2974, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9486, predictive_accuracy: 0.9489, prior_entropy: 0.8401, recall: 0.9489, relative_absolute_error: 0.2192, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.4984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9528, kappa: 0.8789, kb_relative_information_score: 380.8531, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9529, predictive_accuracy: 0.9532, prior_entropy: 0.8401, recall: 0.9532, relative_absolute_error: 0.1978, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.9574, kappa: 0.8916, kb_relative_information_score: 413.3549, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9574, predictive_accuracy: 0.9574, prior_entropy: 0.8401, recall: 0.9574, relative_absolute_error: 0.1083, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.4657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.9473, kappa: 0.8668, kb_relative_information_score: 365.5539, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9482, predictive_accuracy: 0.9468, prior_entropy: 0.8401, recall: 0.9468, relative_absolute_error: 0.2336, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.2223, root_relative_squared_error: 0.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.9488, kappa: 0.8692, kb_relative_information_score: 401.2546, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9487, predictive_accuracy: 0.9489, prior_entropy: 0.8401, recall: 0.9489, relative_absolute_error: 0.1324, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.5067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, f_measure: 0.6186, kb_relative_information_score: 1.0951, mean_absolute_error: 0.3919, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.5357, predictive_accuracy: 0.7319, prior_entropy: 0.8401, recall: 0.7319, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.443, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9479, kappa: 0.8651, kb_relative_information_score: 338.5258, mean_absolute_error: 0.1189, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9492, predictive_accuracy: 0.9489, prior_entropy: 0.8401, recall: 0.9489, relative_absolute_error: 0.3027, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.215, root_relative_squared_error: 0.4854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.9444, kappa: 0.8576, kb_relative_information_score: 396.5992, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9443, predictive_accuracy: 0.9447, prior_entropy: 0.8401, recall: 0.9447, relative_absolute_error: 0.1408, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.2352, root_relative_squared_error: 0.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4892, f_measure: 0.6186, kb_relative_information_score: 3.9802, mean_absolute_error: 0.3863, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.5357, predictive_accuracy: 0.7319, prior_entropy: 0.8401, recall: 0.7319, relative_absolute_error: 0.9831, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.4439, root_relative_squared_error: 1.0022, scimark_benchmark: 1141.6887, usercpu_time_millis: 404300, usercpu_time_millis_testing: 94880, usercpu_time_millis_training: 309420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.9435, kappa: 0.8589, kb_relative_information_score: 393.8066, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9467, predictive_accuracy: 0.9426, prior_entropy: 0.8401, recall: 0.9426, relative_absolute_error: 0.1462, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.5411, scimark_benchmark: 1269.3833, usercpu_time_millis: 5860, usercpu_time_millis_testing: 3210, usercpu_time_millis_training: 2650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.9489, kappa: 0.8699, kb_relative_information_score: 402.1844, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9489, predictive_accuracy: 0.9489, prior_entropy: 0.8401, recall: 0.9489, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.226, root_relative_squared_error: 0.5101, scimark_benchmark: 1180.4319, usercpu_time_millis: 4610, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 4430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4919, f_measure: 0.6186, kb_relative_information_score: 6.957, mean_absolute_error: 0.3841, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.5357, predictive_accuracy: 0.7319, prior_entropy: 0.8401, recall: 0.7319, relative_absolute_error: 0.9777, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.4439, root_relative_squared_error: 1.0022, scimark_benchmark: 1303.5654, usercpu_time_millis: 564830, usercpu_time_millis_testing: 135700, usercpu_time_millis_training: 429130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.9534, kappa: 0.8819, kb_relative_information_score: 407.7697, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9538, predictive_accuracy: 0.9532, prior_entropy: 0.8401, recall: 0.9532, relative_absolute_error: 0.1191, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.4884, scimark_benchmark: 1205.7561, usercpu_time_millis: 8900, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 8800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.8798, kappa: 0.6868, kb_relative_information_score: 318.4184, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.8803, predictive_accuracy: 0.883, prior_entropy: 0.8401, recall: 0.883, relative_absolute_error: 0.2929, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.7529, scimark_benchmark: 1280.711, usercpu_time_millis: 449470, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 449370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.9273, kappa: 0.8138, kb_relative_information_score: 372.6319, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9271, predictive_accuracy: 0.9277, prior_entropy: 0.8401, recall: 0.9277, relative_absolute_error: 0.1892, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.2683, root_relative_squared_error: 0.6058, scimark_benchmark: 1247.2387, usercpu_time_millis: 15560, usercpu_time_millis_testing: 13950, usercpu_time_millis_training: 1610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.9592, kappa: 0.8951, kb_relative_information_score: 416.8452, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9594, predictive_accuracy: 0.9596, prior_entropy: 0.8401, recall: 0.9596, relative_absolute_error: 0.1012, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4442, scimark_benchmark: 1345.9792, usercpu_time_millis: 181400, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 181370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.9321, kappa: 0.8274, kb_relative_information_score: 380.3577, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9323, predictive_accuracy: 0.9319, prior_entropy: 0.8401, recall: 0.9319, relative_absolute_error: 0.1741, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.5368, scimark_benchmark: 1241.8745, usercpu_time_millis: 11640, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 11610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.9528, kappa: 0.8789, kb_relative_information_score: 382.324, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9529, predictive_accuracy: 0.9532, prior_entropy: 0.8401, recall: 0.9532, relative_absolute_error: 0.1977, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.4821, scimark_benchmark: 959.8099, usercpu_time_millis: 4500, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 4400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9586, kappa: 0.8924, kb_relative_information_score: 296.0969, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.961, predictive_accuracy: 0.9596, prior_entropy: 0.8401, recall: 0.9596, relative_absolute_error: 0.4266, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.5165, scimark_benchmark: 1141.5526, usercpu_time_millis: 3570, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 3520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.9457, kappa: 0.8645, kb_relative_information_score: 396.5992, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9492, predictive_accuracy: 0.9447, prior_entropy: 0.8401, recall: 0.9447, relative_absolute_error: 0.1408, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.2352, root_relative_squared_error: 0.531, scimark_benchmark: 1185.7875, usercpu_time_millis: 9970, usercpu_time_millis_testing: 2920, usercpu_time_millis_training: 7050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.9304, kappa: 0.8242, kb_relative_information_score: 376.7671, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9315, predictive_accuracy: 0.9298, prior_entropy: 0.8401, recall: 0.9298, relative_absolute_error: 0.1798, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.5904, scimark_benchmark: 1150.83, usercpu_time_millis: 5110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 5080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.9434, kappa: 0.8582, kb_relative_information_score: 393.8066, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9459, predictive_accuracy: 0.9426, prior_entropy: 0.8401, recall: 0.9426, relative_absolute_error: 0.1462, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.5411, scimark_benchmark: 1218.656, usercpu_time_millis: 5430, usercpu_time_millis_testing: 3100, usercpu_time_millis_training: 2330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.9489, kappa: 0.8699, kb_relative_information_score: 402.1844, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9489, predictive_accuracy: 0.9489, prior_entropy: 0.8401, recall: 0.9489, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.226, root_relative_squared_error: 0.5101, scimark_benchmark: 1324.4066, usercpu_time_millis: 2740, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 2570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.9534, kappa: 0.8819, kb_relative_information_score: 407.7697, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9538, predictive_accuracy: 0.9532, prior_entropy: 0.8401, recall: 0.9532, relative_absolute_error: 0.1191, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.4884, scimark_benchmark: 1387.8433, usercpu_time_millis: 6190, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 6090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.8798, kappa: 0.6868, kb_relative_information_score: 314.2505, mean_absolute_error: 0.1181, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.8803, predictive_accuracy: 0.883, prior_entropy: 0.8401, recall: 0.883, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.7647, scimark_benchmark: 1023.3209, usercpu_time_millis: 565520, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 565440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.9273, kappa: 0.8138, kb_relative_information_score: 372.6319, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9271, predictive_accuracy: 0.9277, prior_entropy: 0.8401, recall: 0.9277, relative_absolute_error: 0.1892, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.2683, root_relative_squared_error: 0.6058, scimark_benchmark: 901.6537, usercpu_time_millis: 17570, usercpu_time_millis_testing: 15970, usercpu_time_millis_training: 1600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.9592, kappa: 0.8951, kb_relative_information_score: 416.8452, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9594, predictive_accuracy: 0.9596, prior_entropy: 0.8401, recall: 0.9596, relative_absolute_error: 0.1012, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4442, scimark_benchmark: 964.2838, usercpu_time_millis: 231280, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 231250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.936, kappa: 0.8365, kb_relative_information_score: 386.3669, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9359, predictive_accuracy: 0.9362, prior_entropy: 0.8401, recall: 0.9362, relative_absolute_error: 0.1622, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.5219, scimark_benchmark: 1199.2041, usercpu_time_millis: 11610, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 11580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.9591, kappa: 0.8946, kb_relative_information_score: 389.3621, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.8401, recall: 0.9596, relative_absolute_error: 0.1856, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.4466, scimark_benchmark: 556.2705, usercpu_time_millis: 3830, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9457, kappa: 0.8591, kb_relative_information_score: 296.435, mean_absolute_error: 0.1678, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9471, predictive_accuracy: 0.9468, prior_entropy: 0.8401, recall: 0.9468, relative_absolute_error: 0.427, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.5189, scimark_benchmark: 570.3457, usercpu_time_millis: 5080, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 5020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.9416, kappa: 0.8548, kb_relative_information_score: 391.0139, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.946, predictive_accuracy: 0.9404, prior_entropy: 0.8401, recall: 0.9404, relative_absolute_error: 0.1516, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.2441, root_relative_squared_error: 0.551, scimark_benchmark: 819.3416, usercpu_time_millis: 11390, usercpu_time_millis_testing: 3450, usercpu_time_millis_training: 7940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.9282, kappa: 0.8184, kb_relative_information_score: 373.9745, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9291, predictive_accuracy: 0.9277, prior_entropy: 0.8401, recall: 0.9277, relative_absolute_error: 0.1852, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.5995, scimark_benchmark: 1016.0227, usercpu_time_millis: 5500, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 5470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.97, kappa: 0.9229, kb_relative_information_score: 427.8799, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9702, predictive_accuracy: 0.9702, prior_entropy: 0.8401, recall: 0.9702, relative_absolute_error: 0.0812, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.3925, scimark_benchmark: 1157.0295, usercpu_time_millis: 1616430, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1616420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.9471, kappa: 0.8661, kb_relative_information_score: 391.6849, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9477, predictive_accuracy: 0.9468, prior_entropy: 0.8401, recall: 0.9468, relative_absolute_error: 0.1596, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.4928, scimark_benchmark: 1197.3814, usercpu_time_millis: 1395180, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1395160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.9553, kappa: 0.8859, kb_relative_information_score: 404.7251, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9552, predictive_accuracy: 0.9553, prior_entropy: 0.8401, recall: 0.9553, relative_absolute_error: 0.1346, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.4588, scimark_benchmark: 879.2981, usercpu_time_millis: 1785280, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 1785160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.9332, kappa: 0.828, kb_relative_information_score: 379.8597, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9333, predictive_accuracy: 0.934, prior_entropy: 0.8401, recall: 0.934, relative_absolute_error: 0.176, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.2513, root_relative_squared_error: 0.5673, scimark_benchmark: 1487.8201, usercpu_time_millis: 1135270, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1135250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9418, f_measure: 0.9553, kappa: 0.8859, kb_relative_information_score: 410.5623, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9552, predictive_accuracy: 0.9553, prior_entropy: 0.8401, recall: 0.9553, relative_absolute_error: 0.1137, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.4772, scimark_benchmark: 1260.2554, usercpu_time_millis: 1494310, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1494290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.9592, kappa: 0.8951, kb_relative_information_score: 416.8452, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9594, predictive_accuracy: 0.9596, prior_entropy: 0.8401, recall: 0.9596, relative_absolute_error: 0.1012, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4442, scimark_benchmark: 1335.7158, usercpu_time_millis: 209250, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 209230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.487, f_measure: 0.6186, kb_relative_information_score: -9.6715, mean_absolute_error: 0.3962, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.5357, predictive_accuracy: 0.7319, prior_entropy: 0.8401, recall: 0.7319, relative_absolute_error: 1.0083, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.443, root_relative_squared_error: 1.0002, scimark_benchmark: 1391.286, usercpu_time_millis: 286540, usercpu_time_millis_testing: 64860, usercpu_time_millis_training: 221680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.9457, kappa: 0.8591, kb_relative_information_score: 392.1398, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9471, predictive_accuracy: 0.9468, prior_entropy: 0.8401, recall: 0.9468, relative_absolute_error: 0.1489, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.5043, scimark_benchmark: 1394.6837, usercpu_time_millis: 1275250, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 1274940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.9136, kappa: 0.7731, kb_relative_information_score: 354.7001, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9186, predictive_accuracy: 0.917, prior_entropy: 0.8401, recall: 0.917, relative_absolute_error: 0.2218, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.2535, root_relative_squared_error: 0.5723, scimark_benchmark: 1397.7321, usercpu_time_millis: 29360, usercpu_time_millis_testing: 29360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.9299, kappa: 0.8173, kb_relative_information_score: 380.3801, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9325, predictive_accuracy: 0.9319, prior_entropy: 0.8401, recall: 0.9319, relative_absolute_error: 0.1819, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.4968, scimark_benchmark: 1314.1912, usercpu_time_millis: 1294670, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 1294280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.9391, kappa: 0.8418, kb_relative_information_score: 388.7801, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9406, predictive_accuracy: 0.9404, prior_entropy: 0.8401, recall: 0.9404, relative_absolute_error: 0.1635, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.4865, scimark_benchmark: 1387.3219, usercpu_time_millis: 1253130, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 1252770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.9467, kappa: 0.8641, kb_relative_information_score: 399.3918, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9467, predictive_accuracy: 0.9468, prior_entropy: 0.8401, recall: 0.9468, relative_absolute_error: 0.1354, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.5207, scimark_benchmark: 1388.3264, usercpu_time_millis: 1245260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1245250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, f_measure: 0.9569, kappa: 0.8888, kb_relative_information_score: 386.3938, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9574, predictive_accuracy: 0.9574, prior_entropy: 0.8401, recall: 0.9574, relative_absolute_error: 0.1915, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.203, root_relative_squared_error: 0.4582, scimark_benchmark: 1379.1727, usercpu_time_millis: 1313580, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1313570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.9537, kappa: 0.8836, kb_relative_information_score: 407.8691, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9553, predictive_accuracy: 0.9532, prior_entropy: 0.8401, recall: 0.9532, relative_absolute_error: 0.1188, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.4872, scimark_benchmark: 1634.3198, usercpu_time_millis: 1078960, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1078920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9611, kappa: 0.8994, kb_relative_information_score: 385.1524, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9621, predictive_accuracy: 0.9617, prior_entropy: 0.8401, recall: 0.9617, relative_absolute_error: 0.1996, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.3823, scimark_benchmark: 1388.1637, usercpu_time_millis: 1262600, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1262580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.9557, kappa: 0.8881, kb_relative_information_score: 410.6065, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9566, predictive_accuracy: 0.9553, prior_entropy: 0.8401, recall: 0.9553, relative_absolute_error: 0.1136, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.4766, scimark_benchmark: 1397.1799, usercpu_time_millis: 1338960, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1338910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.9484, kappa: 0.8672, kb_relative_information_score: 400.4773, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9486, predictive_accuracy: 0.9489, prior_entropy: 0.8401, recall: 0.9489, relative_absolute_error: 0.1353, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.509, scimark_benchmark: 1385.2441, usercpu_time_millis: 1243010, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 1242840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.9191, kappa: 0.7893, kb_relative_information_score: 315.8526, mean_absolute_error: 0.1295, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.921, predictive_accuracy: 0.9213, prior_entropy: 0.8401, recall: 0.9213, relative_absolute_error: 0.3297, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.589, scimark_benchmark: 1307.7489, usercpu_time_millis: 49750, usercpu_time_millis_testing: 49750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.9191, kappa: 0.7893, kb_relative_information_score: 338.3316, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.921, predictive_accuracy: 0.9213, prior_entropy: 0.8401, recall: 0.9213, relative_absolute_error: 0.2706, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.249, root_relative_squared_error: 0.5622, scimark_benchmark: 1112.0463, usercpu_time_millis: 32170, usercpu_time_millis_testing: 32160, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.9406, kappa: 0.849, kb_relative_information_score: 390.4524, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9408, predictive_accuracy: 0.9404, prior_entropy: 0.8401, recall: 0.9404, relative_absolute_error: 0.1537, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.2394, root_relative_squared_error: 0.5405, scimark_benchmark: 1375.2574, usercpu_time_millis: 1254230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1254220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.9489, kappa: 0.8699, kb_relative_information_score: 402.1844, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9489, predictive_accuracy: 0.9489, prior_entropy: 0.8401, recall: 0.9489, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.226, root_relative_squared_error: 0.5101, scimark_benchmark: 1356.791, usercpu_time_millis: 1690, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 1560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8798, kappa: 0.6868, kb_relative_information_score: 315.0815, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.8803, predictive_accuracy: 0.883, prior_entropy: 0.8401, recall: 0.883, relative_absolute_error: 0.2992, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.7601, scimark_benchmark: 1340.9318, usercpu_time_millis: 623560, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 623470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.9534, kappa: 0.8819, kb_relative_information_score: 407.7697, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9538, predictive_accuracy: 0.9532, prior_entropy: 0.8401, recall: 0.9532, relative_absolute_error: 0.1191, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.4884, scimark_benchmark: 870.1073, usercpu_time_millis: 8010, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 7880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.9434, kappa: 0.8582, kb_relative_information_score: 393.8066, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9459, predictive_accuracy: 0.9426, prior_entropy: 0.8401, recall: 0.9426, relative_absolute_error: 0.1462, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.5411, scimark_benchmark: 1030.8318, usercpu_time_millis: 5810, usercpu_time_millis_testing: 4510, usercpu_time_millis_training: 1300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.9428, kappa: 0.8547, kb_relative_information_score: 391.7303, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9431, predictive_accuracy: 0.9426, prior_entropy: 0.8401, recall: 0.9426, relative_absolute_error: 0.1534, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.5145, scimark_benchmark: 1089.5798, usercpu_time_millis: 9400, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 9390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.9476, kappa: 0.8687, kb_relative_information_score: 399.3918, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9501, predictive_accuracy: 0.9468, prior_entropy: 0.8401, recall: 0.9468, relative_absolute_error: 0.1354, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.5207, scimark_benchmark: 870.6684, usercpu_time_millis: 9650, usercpu_time_millis_testing: 3100, usercpu_time_millis_training: 6550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9497, kappa: 0.869, kb_relative_information_score: 294.1436, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9526, predictive_accuracy: 0.9511, prior_entropy: 0.8401, recall: 0.9511, relative_absolute_error: 0.4345, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.5212, scimark_benchmark: 1041.2944, usercpu_time_millis: 2510, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.9569, kappa: 0.8888, kb_relative_information_score: 384.7287, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9574, predictive_accuracy: 0.9574, prior_entropy: 0.8401, recall: 0.9574, relative_absolute_error: 0.1967, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.4573, scimark_benchmark: 1107.1378, usercpu_time_millis: 1980, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.9273, kappa: 0.8138, kb_relative_information_score: 372.6319, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9271, predictive_accuracy: 0.9277, prior_entropy: 0.8401, recall: 0.9277, relative_absolute_error: 0.1892, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.2683, root_relative_squared_error: 0.6058, scimark_benchmark: 1055.5386, usercpu_time_millis: 16610, usercpu_time_millis_testing: 16610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.9322, kappa: 0.8282, kb_relative_information_score: 378.6439, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.3929, number_of_instances: 470, precision: 0.9327, predictive_accuracy: 0.9319, prior_entropy: 0.8401, recall: 0.9319, relative_absolute_error: 0.177, root_mean_prior_squared_error: 0.443, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.5879, scimark_benchmark: 1239.6275, usercpu_time_millis: 2560, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2550,

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