Task
Supervised Classification on Internet-Advertisements

Supervised Classification on Internet-Advertisements

Task 6566 Supervised Classification Internet-Advertisements 25422 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.8655, kappa: 0.3622, kb_relative_information_score: 371.3371, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.895, predictive_accuracy: 0.8927, prior_entropy: 0.5848, recall: 0.8927, relative_absolute_error: 0.7356, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2956, root_relative_squared_error: 0.8521, scimark_benchmark: 1266.2428, usercpu_time_millis: 3360.443, usercpu_time_millis_testing: 59.946, usercpu_time_millis_training: 3300.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.9473, kappa: 0.7679, kb_relative_information_score: 2110.4446, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9512, predictive_accuracy: 0.9509, prior_entropy: 0.5848, recall: 0.9509, relative_absolute_error: 0.3716, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6006, scimark_benchmark: 1282.506, usercpu_time_millis: 1478.028, usercpu_time_millis_testing: 28.929, usercpu_time_millis_training: 1449.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.9602, kappa: 0.828, kb_relative_information_score: 2382.4188, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9615, predictive_accuracy: 0.9619, prior_entropy: 0.5848, recall: 0.9619, relative_absolute_error: 0.2764, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.5256, scimark_benchmark: 1301.3178, usercpu_time_millis: 1081.648, usercpu_time_millis_testing: 20.036, usercpu_time_millis_training: 1061.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7611, f_measure: 0.8619, kappa: 0.3414, kb_relative_information_score: 476.2664, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9019, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.7459, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3004, root_relative_squared_error: 0.8659, scimark_benchmark: 1276.8578, usercpu_time_millis: 3605.657, usercpu_time_millis_testing: 59.303, usercpu_time_millis_training: 3546.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9551, kappa: 0.806, kb_relative_information_score: 2259.7154, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9561, predictive_accuracy: 0.957, prior_entropy: 0.5848, recall: 0.957, relative_absolute_error: 0.3016, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.5341, scimark_benchmark: 1297.6149, usercpu_time_millis: 731.082, usercpu_time_millis_testing: 11.743, usercpu_time_millis_training: 719.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.9496, kappa: 0.7799, kb_relative_information_score: 2185.6012, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9518, predictive_accuracy: 0.9524, prior_entropy: 0.5848, recall: 0.9524, relative_absolute_error: 0.3414, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.202, root_relative_squared_error: 0.5822, scimark_benchmark: 1281.383, usercpu_time_millis: 1317.722, usercpu_time_millis_testing: 26.933, usercpu_time_millis_training: 1290.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9565, kappa: 0.8098, kb_relative_information_score: 2321.6325, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9598, predictive_accuracy: 0.9591, prior_entropy: 0.5848, recall: 0.9591, relative_absolute_error: 0.314, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.5296, scimark_benchmark: 1301.197, usercpu_time_millis: 1710.638, usercpu_time_millis_testing: 29.312, usercpu_time_millis_training: 1681.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.9627, kappa: 0.8413, kb_relative_information_score: 2385.9984, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9629, predictive_accuracy: 0.9637, prior_entropy: 0.5848, recall: 0.9637, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.5103, scimark_benchmark: 1304.7933, usercpu_time_millis: 562.836, usercpu_time_millis_testing: 13.048, usercpu_time_millis_training: 549.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.953, kappa: 0.7931, kb_relative_information_score: 2251.0334, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9571, predictive_accuracy: 0.9561, prior_entropy: 0.5848, recall: 0.9561, relative_absolute_error: 0.3421, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.5482, scimark_benchmark: 1269.7171, usercpu_time_millis: 1572.924, usercpu_time_millis_testing: 28.019, usercpu_time_millis_training: 1544.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.9625, kappa: 0.8391, kb_relative_information_score: 2314.0007, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.963, predictive_accuracy: 0.9637, prior_entropy: 0.5848, recall: 0.9637, relative_absolute_error: 0.285, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.5201, scimark_benchmark: 1288.3026, usercpu_time_millis: 482.495, usercpu_time_millis_testing: 10.833, usercpu_time_millis_training: 471.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8219, f_measure: 0.8666, kappa: 0.3688, kb_relative_information_score: 523.7712, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8924, predictive_accuracy: 0.8927, prior_entropy: 0.5848, recall: 0.8927, relative_absolute_error: 0.7108, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.8504, scimark_benchmark: 1297.2638, usercpu_time_millis: 3405.774, usercpu_time_millis_testing: 55.008, usercpu_time_millis_training: 3350.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.9525, kappa: 0.7946, kb_relative_information_score: 2229.5465, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9535, predictive_accuracy: 0.9546, prior_entropy: 0.5848, recall: 0.9546, relative_absolute_error: 0.3137, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.5354, scimark_benchmark: 1296.5709, usercpu_time_millis: 661.223, usercpu_time_millis_testing: 10.9, usercpu_time_millis_training: 650.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9599, kappa: 0.8268, kb_relative_information_score: 2379.7718, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9611, predictive_accuracy: 0.9616, prior_entropy: 0.5848, recall: 0.9616, relative_absolute_error: 0.2773, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.5288, scimark_benchmark: 1289.8269, usercpu_time_millis: 1110.067, usercpu_time_millis_testing: 21.492, usercpu_time_millis_training: 1088.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.9558, kappa: 0.808, kb_relative_information_score: 2276.1749, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9575, predictive_accuracy: 0.9579, prior_entropy: 0.5848, recall: 0.9579, relative_absolute_error: 0.3123, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.5583, scimark_benchmark: 1261.3017, usercpu_time_millis: 1240.976, usercpu_time_millis_testing: 25.199, usercpu_time_millis_training: 1215.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9695, kappa: 0.8699, kb_relative_information_score: 2620.4111, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9701, predictive_accuracy: 0.9704, prior_entropy: 0.5848, recall: 0.9704, relative_absolute_error: 0.1946, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.4475, scimark_benchmark: 1270.6532, usercpu_time_millis: 770.546, usercpu_time_millis_testing: 16.859, usercpu_time_millis_training: 753.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7663, f_measure: 0.8628, kappa: 0.3459, kb_relative_information_score: 564.7896, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9012, predictive_accuracy: 0.8923, prior_entropy: 0.5848, recall: 0.8923, relative_absolute_error: 0.7436, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3004, root_relative_squared_error: 0.8659, scimark_benchmark: 1285.3968, usercpu_time_millis: 3132.892, usercpu_time_millis_testing: 53.017, usercpu_time_millis_training: 3079.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7771, f_measure: 0.8619, kappa: 0.3414, kb_relative_information_score: 258.719, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9019, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.7596, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.8626, scimark_benchmark: 1297.7422, usercpu_time_millis: 3538.956, usercpu_time_millis_testing: 60.143, usercpu_time_millis_training: 3478.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.9601, kappa: 0.8273, kb_relative_information_score: 2188.8921, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9616, predictive_accuracy: 0.9619, prior_entropy: 0.5848, recall: 0.9619, relative_absolute_error: 0.2997, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.5161, scimark_benchmark: 1297.1301, usercpu_time_millis: 2486.532, usercpu_time_millis_testing: 42.833, usercpu_time_millis_training: 2443.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.9571, kappa: 0.815, kb_relative_information_score: 2283.5655, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.958, predictive_accuracy: 0.9588, prior_entropy: 0.5848, recall: 0.9588, relative_absolute_error: 0.2947, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.183, root_relative_squared_error: 0.5275, scimark_benchmark: 1294.572, usercpu_time_millis: 508.542, usercpu_time_millis_testing: 12.895, usercpu_time_millis_training: 495.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.9526, kappa: 0.7914, kb_relative_information_score: 2214.7867, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9568, predictive_accuracy: 0.9558, prior_entropy: 0.5848, recall: 0.9558, relative_absolute_error: 0.356, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.5548, scimark_benchmark: 1275.1518, usercpu_time_millis: 1412.086, usercpu_time_millis_testing: 27.83, usercpu_time_millis_training: 1384.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.9692, kappa: 0.8684, kb_relative_information_score: 2620.8029, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9698, predictive_accuracy: 0.9701, prior_entropy: 0.5848, recall: 0.9701, relative_absolute_error: 0.1937, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.4476, scimark_benchmark: 1262.1978, usercpu_time_millis: 730.485, usercpu_time_millis_testing: 15.943, usercpu_time_millis_training: 714.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7766, f_measure: 0.8619, kappa: 0.3414, kb_relative_information_score: 262.0599, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9019, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.7618, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.8633, scimark_benchmark: 1268.2585, usercpu_time_millis: 3416.09, usercpu_time_millis_testing: 59.225, usercpu_time_millis_training: 3356.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.8666, kappa: 0.3688, kb_relative_information_score: 458.187, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8924, predictive_accuracy: 0.8927, prior_entropy: 0.5848, recall: 0.8927, relative_absolute_error: 0.7193, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.8483, scimark_benchmark: 1235.4455, usercpu_time_millis: 3411.545, usercpu_time_millis_testing: 57.489, usercpu_time_millis_training: 3354.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9544, kappa: 0.8033, kb_relative_information_score: 2265.8782, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9554, predictive_accuracy: 0.9564, prior_entropy: 0.5848, recall: 0.9564, relative_absolute_error: 0.3012, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.5327, scimark_benchmark: 1283.9814, usercpu_time_millis: 542.716, usercpu_time_millis_testing: 12.635, usercpu_time_millis_training: 530.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.9444, kappa: 0.7544, kb_relative_information_score: 2020.1198, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9488, predictive_accuracy: 0.9485, prior_entropy: 0.5848, recall: 0.9485, relative_absolute_error: 0.4012, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.623, scimark_benchmark: 1293.2556, usercpu_time_millis: 1406.162, usercpu_time_millis_testing: 26.187, usercpu_time_millis_training: 1379.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.8701, kappa: 0.3863, kb_relative_information_score: 533.1581, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8964, predictive_accuracy: 0.8951, prior_entropy: 0.5848, recall: 0.8951, relative_absolute_error: 0.7081, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.29, root_relative_squared_error: 0.8358, scimark_benchmark: 1292.8246, usercpu_time_millis: 3165.721, usercpu_time_millis_testing: 55.444, usercpu_time_millis_training: 3110.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.9416, kappa: 0.7421, kb_relative_information_score: 2027.5573, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9453, predictive_accuracy: 0.9457, prior_entropy: 0.5848, recall: 0.9457, relative_absolute_error: 0.3917, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.623, scimark_benchmark: 1258.94, usercpu_time_millis: 1313.873, usercpu_time_millis_testing: 26.817, usercpu_time_millis_training: 1287.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.971, kappa: 0.876, kb_relative_information_score: 2623.0327, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9718, predictive_accuracy: 0.9719, prior_entropy: 0.5848, recall: 0.9719, relative_absolute_error: 0.1947, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.4459, scimark_benchmark: 1278.3651, usercpu_time_millis: 812.079, usercpu_time_millis_testing: 17.582, usercpu_time_millis_training: 794.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9689, kappa: 0.8675, kb_relative_information_score: 2604.9277, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9694, predictive_accuracy: 0.9698, prior_entropy: 0.5848, recall: 0.9698, relative_absolute_error: 0.1973, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.4537, scimark_benchmark: 1268.1662, usercpu_time_millis: 765.413, usercpu_time_millis_testing: 15.999, usercpu_time_millis_training: 749.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.9588, kappa: 0.8227, kb_relative_information_score: 2374.399, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9596, predictive_accuracy: 0.9604, prior_entropy: 0.5848, recall: 0.9604, relative_absolute_error: 0.276, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.184, root_relative_squared_error: 0.5303, scimark_benchmark: 1258.8633, usercpu_time_millis: 1193.714, usercpu_time_millis_testing: 24.564, usercpu_time_millis_training: 1169.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7804, f_measure: 0.863, kappa: 0.3468, kb_relative_information_score: 394.0278, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9025, predictive_accuracy: 0.8927, prior_entropy: 0.5848, recall: 0.8927, relative_absolute_error: 0.7361, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.8593, scimark_benchmark: 1255.113, usercpu_time_millis: 3453.426, usercpu_time_millis_testing: 57.922, usercpu_time_millis_training: 3395.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.9055, kappa: 0.5681, kb_relative_information_score: 1307.6302, mean_absolute_error: 0.1301, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9162, predictive_accuracy: 0.9174, prior_entropy: 0.5848, recall: 0.9174, relative_absolute_error: 0.5401, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2523, root_relative_squared_error: 0.7271, scimark_benchmark: 1283.2523, usercpu_time_millis: 3315.125, usercpu_time_millis_testing: 46.849, usercpu_time_millis_training: 3268.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9528, kappa: 0.7958, kb_relative_information_score: 2228.585, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9538, predictive_accuracy: 0.9549, prior_entropy: 0.5848, recall: 0.9549, relative_absolute_error: 0.3149, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.535, scimark_benchmark: 1292.0538, usercpu_time_millis: 636.923, usercpu_time_millis_testing: 13.078, usercpu_time_millis_training: 623.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, f_measure: 0.9555, kappa: 0.8072, kb_relative_information_score: 2270.0289, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.957, predictive_accuracy: 0.9576, prior_entropy: 0.5848, recall: 0.9576, relative_absolute_error: 0.3134, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.5575, scimark_benchmark: 1268.0351, usercpu_time_millis: 1162.535, usercpu_time_millis_testing: 23.987, usercpu_time_millis_training: 1138.548,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.9494, kappa: 0.7775, kb_relative_information_score: 2124.4603, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9531, predictive_accuracy: 0.9527, prior_entropy: 0.5848, recall: 0.9527, relative_absolute_error: 0.366, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.5952, scimark_benchmark: 1292.5015, usercpu_time_millis: 1325.087, usercpu_time_millis_testing: 24.813, usercpu_time_millis_training: 1300.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, f_measure: 0.9313, kappa: 0.6898, kb_relative_information_score: 1790.4171, mean_absolute_error: 0.1167, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9411, predictive_accuracy: 0.9384, prior_entropy: 0.5848, recall: 0.9384, relative_absolute_error: 0.4845, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.6669, scimark_benchmark: 1295.5183, usercpu_time_millis: 1322.42, usercpu_time_millis_testing: 26.198, usercpu_time_millis_training: 1296.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.9497, kappa: 0.7781, kb_relative_information_score: 2144.7462, mean_absolute_error: 0.0889, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9545, predictive_accuracy: 0.9533, prior_entropy: 0.5848, recall: 0.9533, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.202, root_relative_squared_error: 0.5821, scimark_benchmark: 1259.4266, usercpu_time_millis: 1466.441, usercpu_time_millis_testing: 26.596, usercpu_time_millis_training: 1439.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.9457, kappa: 0.7588, kb_relative_information_score: 2074.205, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9515, predictive_accuracy: 0.95, prior_entropy: 0.5848, recall: 0.95, relative_absolute_error: 0.3943, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.5984, scimark_benchmark: 1251.7153, usercpu_time_millis: 1562.766, usercpu_time_millis_testing: 29.869, usercpu_time_millis_training: 1532.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7851, f_measure: 0.8625, kappa: 0.3449, kb_relative_information_score: 265.3878, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.7533, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.8602, scimark_benchmark: 1283.2523, usercpu_time_millis: 3377.668, usercpu_time_millis_testing: 56.48, usercpu_time_millis_training: 3321.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.9586, kappa: 0.82, kb_relative_information_score: 2342.1344, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9607, predictive_accuracy: 0.9607, prior_entropy: 0.5848, recall: 0.9607, relative_absolute_error: 0.2982, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.5352, scimark_benchmark: 1271.9716, usercpu_time_millis: 1380.718, usercpu_time_millis_testing: 27.451, usercpu_time_millis_training: 1353.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.9346, kappa: 0.7059, kb_relative_information_score: 1875.7106, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9439, predictive_accuracy: 0.9411, prior_entropy: 0.5848, recall: 0.9411, relative_absolute_error: 0.4618, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.6436, scimark_benchmark: 1277.54, usercpu_time_millis: 1374.803, usercpu_time_millis_testing: 25.707, usercpu_time_millis_training: 1349.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.9424, kappa: 0.7432, kb_relative_information_score: 2008.7778, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.949, predictive_accuracy: 0.9472, prior_entropy: 0.5848, recall: 0.9472, relative_absolute_error: 0.4168, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.6145, scimark_benchmark: 1260.7456, usercpu_time_millis: 1523.23, usercpu_time_millis_testing: 27.629, usercpu_time_millis_training: 1495.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7889, f_measure: 0.862, kappa: 0.3429, kb_relative_information_score: 389.8981, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8976, predictive_accuracy: 0.8914, prior_entropy: 0.5848, recall: 0.8914, relative_absolute_error: 0.7343, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.8603, scimark_benchmark: 1286.5958, usercpu_time_millis: 3364.159, usercpu_time_millis_testing: 55.787, usercpu_time_millis_training: 3308.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.9557, kappa: 0.8073, kb_relative_information_score: 2266.6048, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9576, predictive_accuracy: 0.9579, prior_entropy: 0.5848, recall: 0.9579, relative_absolute_error: 0.316, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.5587, scimark_benchmark: 1267.6879, usercpu_time_millis: 1252.788, usercpu_time_millis_testing: 26.415, usercpu_time_millis_training: 1226.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9637, kappa: 0.8458, kb_relative_information_score: 2436.227, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9638, predictive_accuracy: 0.9646, prior_entropy: 0.5848, recall: 0.9646, relative_absolute_error: 0.2434, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.5006, scimark_benchmark: 1291.4551, usercpu_time_millis: 591.873, usercpu_time_millis_testing: 13.594, usercpu_time_millis_training: 578.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9626, kappa: 0.8404, kb_relative_information_score: 2361.9665, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9629, predictive_accuracy: 0.9637, prior_entropy: 0.5848, recall: 0.9637, relative_absolute_error: 0.2689, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.5166, scimark_benchmark: 1288.9682, usercpu_time_millis: 550.069, usercpu_time_millis_testing: 12.994, usercpu_time_millis_training: 537.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9544, kappa: 0.8033, kb_relative_information_score: 2260.1837, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9554, predictive_accuracy: 0.9564, prior_entropy: 0.5848, recall: 0.9564, relative_absolute_error: 0.3034, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.533, scimark_benchmark: 1245.6936, usercpu_time_millis: 513.958, usercpu_time_millis_testing: 11.217, usercpu_time_millis_training: 502.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9677, kappa: 0.8624, kb_relative_information_score: 2590.2126, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9681, predictive_accuracy: 0.9686, prior_entropy: 0.5848, recall: 0.9686, relative_absolute_error: 0.2014, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.4589, scimark_benchmark: 1283.7798, usercpu_time_millis: 658.757, usercpu_time_millis_testing: 14.236, usercpu_time_millis_training: 644.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.9554, kappa: 0.8072, kb_relative_information_score: 2277.3902, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9565, predictive_accuracy: 0.9573, prior_entropy: 0.5848, recall: 0.9573, relative_absolute_error: 0.2966, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.184, root_relative_squared_error: 0.5304, scimark_benchmark: 1254.5605, usercpu_time_millis: 479.957, usercpu_time_millis_testing: 11.69, usercpu_time_millis_training: 468.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.9347, kappa: 0.7066, kb_relative_information_score: 1884.8565, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9436, predictive_accuracy: 0.9411, prior_entropy: 0.5848, recall: 0.9411, relative_absolute_error: 0.459, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.6413, scimark_benchmark: 1288.2302, usercpu_time_millis: 1479.388, usercpu_time_millis_testing: 30.469, usercpu_time_millis_training: 1448.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.9537, kappa: 0.7964, kb_relative_information_score: 2275.0293, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9577, predictive_accuracy: 0.9567, prior_entropy: 0.5848, recall: 0.9567, relative_absolute_error: 0.3328, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.5424, scimark_benchmark: 1245.96, usercpu_time_millis: 1659.883, usercpu_time_millis_testing: 31.216, usercpu_time_millis_training: 1628.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9707, kappa: 0.8743, kb_relative_information_score: 2635.6327, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9716, predictive_accuracy: 0.9716, prior_entropy: 0.5848, recall: 0.9716, relative_absolute_error: 0.1921, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.4436, scimark_benchmark: 1272.3098, usercpu_time_millis: 830.742, usercpu_time_millis_testing: 19.352, usercpu_time_millis_training: 811.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9669, kappa: 0.8571, kb_relative_information_score: 2536.3356, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9685, predictive_accuracy: 0.9683, prior_entropy: 0.5848, recall: 0.9683, relative_absolute_error: 0.2334, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.4775, scimark_benchmark: 1281.2235, usercpu_time_millis: 1349.688, usercpu_time_millis_testing: 24.708, usercpu_time_millis_training: 1324.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.8616, kappa: 0.3418, kb_relative_information_score: 456.7707, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8933, predictive_accuracy: 0.8905, prior_entropy: 0.5848, recall: 0.8905, relative_absolute_error: 0.7351, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.8628, scimark_benchmark: 1251.8566, usercpu_time_millis: 3359.402, usercpu_time_millis_testing: 54.93, usercpu_time_millis_training: 3304.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.9506, kappa: 0.7848, kb_relative_information_score: 2213.6502, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9527, predictive_accuracy: 0.9533, prior_entropy: 0.5848, recall: 0.9533, relative_absolute_error: 0.3369, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.5701, scimark_benchmark: 1290.0831, usercpu_time_millis: 1290.474, usercpu_time_millis_testing: 23.787, usercpu_time_millis_training: 1266.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.9601, kappa: 0.8289, kb_relative_information_score: 2303.7161, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9608, predictive_accuracy: 0.9616, prior_entropy: 0.5848, recall: 0.9616, relative_absolute_error: 0.2898, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.5227, scimark_benchmark: 1297.041, usercpu_time_millis: 532.284, usercpu_time_millis_testing: 11.602, usercpu_time_millis_training: 520.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9547, kappa: 0.8044, kb_relative_information_score: 2267.5096, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9558, predictive_accuracy: 0.9567, prior_entropy: 0.5848, recall: 0.9567, relative_absolute_error: 0.3007, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1846, root_relative_squared_error: 0.5319, scimark_benchmark: 1252.4025, usercpu_time_millis: 527.505, usercpu_time_millis_testing: 12.61, usercpu_time_millis_training: 514.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.9382, kappa: 0.7242, kb_relative_information_score: 1935.8824, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9448, predictive_accuracy: 0.9436, prior_entropy: 0.5848, recall: 0.9436, relative_absolute_error: 0.4348, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.6387, scimark_benchmark: 1284.4565, usercpu_time_millis: 1471.086, usercpu_time_millis_testing: 29.179, usercpu_time_millis_training: 1441.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.959, kappa: 0.8232, kb_relative_information_score: 2377.9577, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.96, predictive_accuracy: 0.9607, prior_entropy: 0.5848, recall: 0.9607, relative_absolute_error: 0.2765, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.5292, scimark_benchmark: 1282.1331, usercpu_time_millis: 1208.598, usercpu_time_millis_testing: 22.987, usercpu_time_millis_training: 1185.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.8838, kappa: 0.4578, kb_relative_information_score: 733.5285, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9026, predictive_accuracy: 0.903, prior_entropy: 0.5848, recall: 0.903, relative_absolute_error: 0.6532, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2753, root_relative_squared_error: 0.7934, scimark_benchmark: 1275.9937, usercpu_time_millis: 2918.427, usercpu_time_millis_testing: 48.822, usercpu_time_millis_training: 2869.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.9505, kappa: 0.7814, kb_relative_information_score: 2174.4838, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9551, predictive_accuracy: 0.9539, prior_entropy: 0.5848, recall: 0.9539, relative_absolute_error: 0.3568, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2, root_relative_squared_error: 0.5763, scimark_benchmark: 1259.1264, usercpu_time_millis: 1534.272, usercpu_time_millis_testing: 28.578, usercpu_time_millis_training: 1505.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7814, f_measure: 0.8625, kappa: 0.3449, kb_relative_information_score: 388.5767, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.7355, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.8595, scimark_benchmark: 1214.6694, usercpu_time_millis: 3329.956, usercpu_time_millis_testing: 51.922, usercpu_time_millis_training: 3278.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9606, kappa: 0.8325, kb_relative_information_score: 2453.0585, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9606, predictive_accuracy: 0.9616, prior_entropy: 0.5848, recall: 0.9616, relative_absolute_error: 0.2434, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.505, scimark_benchmark: 1250.1742, usercpu_time_millis: 914.031, usercpu_time_millis_testing: 19.081, usercpu_time_millis_training: 894.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.9557, kappa: 0.8084, kb_relative_information_score: 2255.3629, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9568, predictive_accuracy: 0.9576, prior_entropy: 0.5848, recall: 0.9576, relative_absolute_error: 0.3044, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.534, scimark_benchmark: 1246.0574, usercpu_time_millis: 733.282, usercpu_time_millis_testing: 11.199, usercpu_time_millis_training: 722.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.9561, kappa: 0.8103, kb_relative_information_score: 2247.1994, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9571, predictive_accuracy: 0.9579, prior_entropy: 0.5848, recall: 0.9579, relative_absolute_error: 0.3063, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.535, scimark_benchmark: 1263.4008, usercpu_time_millis: 754.086, usercpu_time_millis_testing: 11.058, usercpu_time_millis_training: 743.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, f_measure: 0.9447, kappa: 0.7547, kb_relative_information_score: 2023.8715, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9503, predictive_accuracy: 0.9491, prior_entropy: 0.5848, recall: 0.9491, relative_absolute_error: 0.4043, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.6155, scimark_benchmark: 1241.8875, usercpu_time_millis: 1475.187, usercpu_time_millis_testing: 27.898, usercpu_time_millis_training: 1447.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.9416, kappa: 0.7426, kb_relative_information_score: 2049.9004, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9452, predictive_accuracy: 0.9457, prior_entropy: 0.5848, recall: 0.9457, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.6144, scimark_benchmark: 1258.7311, usercpu_time_millis: 1284.007, usercpu_time_millis_testing: 25.41, usercpu_time_millis_training: 1258.597,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs