OpenML
Supervised Classification on electricity

Supervised Classification on electricity

Task 146012 Supervised Classification electricity 25374 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.8218, kappa: 0.6337, kb_relative_information_score: 21200.7797, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8226, predictive_accuracy: 0.8229, prior_entropy: 0.9835, recall: 0.8229, relative_absolute_error: 0.5642, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.7184, scimark_benchmark: 1278.1518, usercpu_time_millis: 608.285, usercpu_time_millis_testing: 47.663, usercpu_time_millis_training: 560.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8078, kappa: 0.6044, kb_relative_information_score: 17559.6675, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8128, predictive_accuracy: 0.8108, prior_entropy: 0.9835, recall: 0.8108, relative_absolute_error: 0.6536, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.7534, scimark_benchmark: 1303.9901, usercpu_time_millis: 788.964, usercpu_time_millis_testing: 52.176, usercpu_time_millis_training: 736.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.923, kappa: 0.8426, kb_relative_information_score: 33757.1389, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9231, predictive_accuracy: 0.923, prior_entropy: 0.9835, recall: 0.923, relative_absolute_error: 0.2754, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.243, root_relative_squared_error: 0.4917, scimark_benchmark: 1283.8925, usercpu_time_millis: 137.59, usercpu_time_millis_testing: 2.339, usercpu_time_millis_training: 135.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8232, kappa: 0.637, kb_relative_information_score: 21772.5644, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8235, predictive_accuracy: 0.8241, prior_entropy: 0.9835, recall: 0.8241, relative_absolute_error: 0.5504, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7106, scimark_benchmark: 1280.3074, usercpu_time_millis: 2165.203, usercpu_time_millis_testing: 70.138, usercpu_time_millis_training: 2095.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.7913, kappa: 0.5705, kb_relative_information_score: 16173.5615, mean_absolute_error: 0.3341, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8001, predictive_accuracy: 0.7958, prior_entropy: 0.9835, recall: 0.7958, relative_absolute_error: 0.6837, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7758, scimark_benchmark: 1281.8894, usercpu_time_millis: 760.949, usercpu_time_millis_testing: 55.622, usercpu_time_millis_training: 705.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9024, kappa: 0.8001, kb_relative_information_score: 29727.4251, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9024, predictive_accuracy: 0.9025, prior_entropy: 0.9835, recall: 0.9025, relative_absolute_error: 0.374, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.5538, scimark_benchmark: 1299.339, usercpu_time_millis: 864.814, usercpu_time_millis_testing: 22.768, usercpu_time_millis_training: 842.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8273, kappa: 0.6453, kb_relative_information_score: 22077.7619, mean_absolute_error: 0.2658, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8277, predictive_accuracy: 0.8281, prior_entropy: 0.9835, recall: 0.8281, relative_absolute_error: 0.5441, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3476, root_relative_squared_error: 0.7032, scimark_benchmark: 1275.8035, usercpu_time_millis: 163.444, usercpu_time_millis_testing: 5.585, usercpu_time_millis_training: 157.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.8906, kappa: 0.7757, kb_relative_information_score: 28193.3414, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8906, predictive_accuracy: 0.8908, prior_entropy: 0.9835, recall: 0.8908, relative_absolute_error: 0.4099, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2873, root_relative_squared_error: 0.5812, scimark_benchmark: 1291.7586, usercpu_time_millis: 599.669, usercpu_time_millis_testing: 27.66, usercpu_time_millis_training: 572.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.8647, kappa: 0.7227, kb_relative_information_score: 26230.237, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8647, predictive_accuracy: 0.865, prior_entropy: 0.9835, recall: 0.865, relative_absolute_error: 0.4492, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3133, root_relative_squared_error: 0.6338, scimark_benchmark: 1260.9116, usercpu_time_millis: 1807.465, usercpu_time_millis_testing: 43.938, usercpu_time_millis_training: 1763.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, f_measure: 0.7985, kappa: 0.5853, kb_relative_information_score: 18560.9902, mean_absolute_error: 0.3055, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8034, predictive_accuracy: 0.8017, prior_entropy: 0.9835, recall: 0.8017, relative_absolute_error: 0.6253, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.7545, scimark_benchmark: 1280.9378, usercpu_time_millis: 430.897, usercpu_time_millis_testing: 25.554, usercpu_time_millis_training: 405.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.8921, kappa: 0.7788, kb_relative_information_score: 27967.5235, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8922, predictive_accuracy: 0.8923, prior_entropy: 0.9835, recall: 0.8923, relative_absolute_error: 0.4162, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.5819, scimark_benchmark: 1282.3456, usercpu_time_millis: 1430.301, usercpu_time_millis_testing: 45.208, usercpu_time_millis_training: 1385.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8985, f_measure: 0.8166, kappa: 0.6229, kb_relative_information_score: 20409.719, mean_absolute_error: 0.2847, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8178, predictive_accuracy: 0.818, prior_entropy: 0.9835, recall: 0.818, relative_absolute_error: 0.5827, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.729, scimark_benchmark: 1307.9071, usercpu_time_millis: 417.809, usercpu_time_millis_testing: 18.671, usercpu_time_millis_training: 399.138,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.8348, kappa: 0.6601, kb_relative_information_score: 19996.3228, mean_absolute_error: 0.2942, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8372, predictive_accuracy: 0.8364, prior_entropy: 0.9835, recall: 0.8364, relative_absolute_error: 0.6022, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.7089, scimark_benchmark: 1305.346, usercpu_time_millis: 1118.745, usercpu_time_millis_testing: 81, usercpu_time_millis_training: 1037.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.8428, kappa: 0.6776, kb_relative_information_score: 24270.3838, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8428, predictive_accuracy: 0.8432, prior_entropy: 0.9835, recall: 0.8432, relative_absolute_error: 0.4919, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.673, scimark_benchmark: 1286.0799, usercpu_time_millis: 286.559, usercpu_time_millis_testing: 7.235, usercpu_time_millis_training: 279.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.8796, kappa: 0.7533, kb_relative_information_score: 27035.1568, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8797, predictive_accuracy: 0.8799, prior_entropy: 0.9835, recall: 0.8799, relative_absolute_error: 0.4349, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.6082, scimark_benchmark: 1312.0031, usercpu_time_millis: 242.058, usercpu_time_millis_testing: 11.757, usercpu_time_millis_training: 230.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.8252, kappa: 0.6403, kb_relative_information_score: 19165.2355, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8281, predictive_accuracy: 0.8271, prior_entropy: 0.9835, recall: 0.8271, relative_absolute_error: 0.6194, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7245, scimark_benchmark: 1295.8522, usercpu_time_millis: 199.971, usercpu_time_millis_testing: 10.276, usercpu_time_millis_training: 189.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, f_measure: 0.8069, kappa: 0.6027, kb_relative_information_score: 19295.2511, mean_absolute_error: 0.2969, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8095, predictive_accuracy: 0.8091, prior_entropy: 0.9835, recall: 0.8091, relative_absolute_error: 0.6076, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.369, root_relative_squared_error: 0.7466, scimark_benchmark: 1304.3254, usercpu_time_millis: 398.571, usercpu_time_millis_testing: 22.354, usercpu_time_millis_training: 376.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.8684, kappa: 0.7299, kb_relative_information_score: 25889.2624, mean_absolute_error: 0.225, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8685, predictive_accuracy: 0.8688, prior_entropy: 0.9835, recall: 0.8688, relative_absolute_error: 0.4605, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.6279, scimark_benchmark: 1306.047, usercpu_time_millis: 814.38, usercpu_time_millis_testing: 23.819, usercpu_time_millis_training: 790.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8377, kappa: 0.6666, kb_relative_information_score: 22839.9394, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8382, predictive_accuracy: 0.8385, prior_entropy: 0.9835, recall: 0.8385, relative_absolute_error: 0.5281, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3393, root_relative_squared_error: 0.6865, scimark_benchmark: 1286.1215, usercpu_time_millis: 937.897, usercpu_time_millis_testing: 51.316, usercpu_time_millis_training: 886.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.8289, kappa: 0.6488, kb_relative_information_score: 22537.8457, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.829, predictive_accuracy: 0.8296, prior_entropy: 0.9835, recall: 0.8296, relative_absolute_error: 0.5327, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.6985, scimark_benchmark: 1302.0485, usercpu_time_millis: 1321.638, usercpu_time_millis_testing: 51.48, usercpu_time_millis_training: 1270.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.8701, kappa: 0.7337, kb_relative_information_score: 26591.1212, mean_absolute_error: 0.2158, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8701, predictive_accuracy: 0.8703, prior_entropy: 0.9835, recall: 0.8703, relative_absolute_error: 0.4416, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.6255, scimark_benchmark: 1278.4212, usercpu_time_millis: 3971.999, usercpu_time_millis_testing: 84.591, usercpu_time_millis_training: 3887.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.8161, kappa: 0.6218, kb_relative_information_score: 19924.0473, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.818, predictive_accuracy: 0.8178, prior_entropy: 0.9835, recall: 0.8178, relative_absolute_error: 0.5956, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.7308, scimark_benchmark: 1296.629, usercpu_time_millis: 19.901, usercpu_time_millis_testing: 1.367, usercpu_time_millis_training: 18.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.8761, kappa: 0.746, kb_relative_information_score: 27033.4568, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8761, predictive_accuracy: 0.8764, prior_entropy: 0.9835, recall: 0.8764, relative_absolute_error: 0.4336, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3021, root_relative_squared_error: 0.6111, scimark_benchmark: 1282.7299, usercpu_time_millis: 2743.158, usercpu_time_millis_testing: 75.837, usercpu_time_millis_training: 2667.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.8338, kappa: 0.659, kb_relative_information_score: 23170.0674, mean_absolute_error: 0.2528, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8339, predictive_accuracy: 0.8343, prior_entropy: 0.9835, recall: 0.8343, relative_absolute_error: 0.5174, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.69, scimark_benchmark: 1302.1312, usercpu_time_millis: 4145.718, usercpu_time_millis_testing: 95.713, usercpu_time_millis_training: 4050.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.823, kappa: 0.6369, kb_relative_information_score: 22407.6154, mean_absolute_error: 0.2599, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8229, predictive_accuracy: 0.8234, prior_entropy: 0.9835, recall: 0.8234, relative_absolute_error: 0.532, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.7124, scimark_benchmark: 1286.3027, usercpu_time_millis: 175.105, usercpu_time_millis_testing: 4.614, usercpu_time_millis_training: 170.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.8354, kappa: 0.6623, kb_relative_information_score: 23467.1053, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8354, predictive_accuracy: 0.8359, prior_entropy: 0.9835, recall: 0.8359, relative_absolute_error: 0.5097, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6878, scimark_benchmark: 1279.5346, usercpu_time_millis: 975.423, usercpu_time_millis_testing: 18.755, usercpu_time_millis_training: 956.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.812, kappa: 0.613, kb_relative_information_score: 17963.3098, mean_absolute_error: 0.3152, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8163, predictive_accuracy: 0.8146, prior_entropy: 0.9835, recall: 0.8146, relative_absolute_error: 0.645, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.7464, scimark_benchmark: 1293.7557, usercpu_time_millis: 1309.602, usercpu_time_millis_testing: 76.188, usercpu_time_millis_training: 1233.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.8213, kappa: 0.6322, kb_relative_information_score: 18844.7966, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8245, predictive_accuracy: 0.8234, prior_entropy: 0.9835, recall: 0.8234, relative_absolute_error: 0.6261, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.7308, scimark_benchmark: 1302.3043, usercpu_time_millis: 1868.114, usercpu_time_millis_testing: 96.601, usercpu_time_millis_training: 1771.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.8582, kappa: 0.7089, kb_relative_information_score: 24643.9394, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8586, predictive_accuracy: 0.8588, prior_entropy: 0.9835, recall: 0.8588, relative_absolute_error: 0.4898, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.6483, scimark_benchmark: 1302.3373, usercpu_time_millis: 1799.778, usercpu_time_millis_testing: 86.612, usercpu_time_millis_training: 1713.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.8425, kappa: 0.6767, kb_relative_information_score: 25450.7427, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8428, predictive_accuracy: 0.8432, prior_entropy: 0.9835, recall: 0.8432, relative_absolute_error: 0.459, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.675, scimark_benchmark: 1149.8516, usercpu_time_millis: 60.481, usercpu_time_millis_testing: 60.283, usercpu_time_millis_training: 0.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.8456, kappa: 0.6832, kb_relative_information_score: 26398.7617, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8456, predictive_accuracy: 0.846, prior_entropy: 0.9835, recall: 0.846, relative_absolute_error: 0.4348, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.331, root_relative_squared_error: 0.6696, scimark_benchmark: 1085.8763, usercpu_time_millis: 56.787, usercpu_time_millis_testing: 56.579, usercpu_time_millis_training: 0.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.8173, kappa: 0.6251, kb_relative_information_score: 21219.0634, mean_absolute_error: 0.2744, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8174, predictive_accuracy: 0.818, prior_entropy: 0.9835, recall: 0.818, relative_absolute_error: 0.5617, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.7254, scimark_benchmark: 1306.8972, usercpu_time_millis: 1594.007, usercpu_time_millis_testing: 70.137, usercpu_time_millis_training: 1523.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8699, kappa: 0.7333, kb_relative_information_score: 26659.7569, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8698, predictive_accuracy: 0.8701, prior_entropy: 0.9835, recall: 0.8701, relative_absolute_error: 0.4393, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.627, scimark_benchmark: 1286.0453, usercpu_time_millis: 2355.191, usercpu_time_millis_testing: 43.712, usercpu_time_millis_training: 2311.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.7638, kappa: 0.5161, kb_relative_information_score: 10140.8406, mean_absolute_error: 0.3993, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7869, predictive_accuracy: 0.7735, prior_entropy: 0.9835, recall: 0.7735, relative_absolute_error: 0.8172, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.8491, scimark_benchmark: 1285.936, usercpu_time_millis: 173.312, usercpu_time_millis_testing: 15.765, usercpu_time_millis_training: 157.547,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.902, kappa: 0.7993, kb_relative_information_score: 29648.0464, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.902, predictive_accuracy: 0.9021, prior_entropy: 0.9835, recall: 0.9021, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2744, root_relative_squared_error: 0.5552, scimark_benchmark: 1284.2529, usercpu_time_millis: 975.838, usercpu_time_millis_testing: 36.21, usercpu_time_millis_training: 939.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.821, kappa: 0.633, kb_relative_information_score: 21917.6307, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.821, predictive_accuracy: 0.8215, prior_entropy: 0.9835, recall: 0.8215, relative_absolute_error: 0.5452, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.7163, scimark_benchmark: 1287.4471, usercpu_time_millis: 935.187, usercpu_time_millis_testing: 55.093, usercpu_time_millis_training: 880.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.8336, kappa: 0.6578, kb_relative_information_score: 19993.062, mean_absolute_error: 0.2942, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8359, predictive_accuracy: 0.8352, prior_entropy: 0.9835, recall: 0.8352, relative_absolute_error: 0.6021, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.7085, scimark_benchmark: 1288.1797, usercpu_time_millis: 1653.628, usercpu_time_millis_testing: 85.037, usercpu_time_millis_training: 1568.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.875, kappa: 0.7437, kb_relative_information_score: 26865.0341, mean_absolute_error: 0.2138, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.875, predictive_accuracy: 0.8753, prior_entropy: 0.9835, recall: 0.8753, relative_absolute_error: 0.4375, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.6129, scimark_benchmark: 1282.6182, usercpu_time_millis: 2447.086, usercpu_time_millis_testing: 66.99, usercpu_time_millis_training: 2380.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.8491, kappa: 0.6903, kb_relative_information_score: 24566.867, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8492, predictive_accuracy: 0.8496, prior_entropy: 0.9835, recall: 0.8496, relative_absolute_error: 0.4877, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.6599, scimark_benchmark: 1277.0389, usercpu_time_millis: 2264.071, usercpu_time_millis_testing: 79.981, usercpu_time_millis_training: 2184.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.8872, kappa: 0.769, kb_relative_information_score: 28977.0845, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8872, predictive_accuracy: 0.8873, prior_entropy: 0.9835, recall: 0.8873, relative_absolute_error: 0.3867, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2889, root_relative_squared_error: 0.5844, scimark_benchmark: 1303.4907, usercpu_time_millis: 1801.533, usercpu_time_millis_testing: 29.327, usercpu_time_millis_training: 1772.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.8359, kappa: 0.6629, kb_relative_information_score: 22709.9047, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8364, predictive_accuracy: 0.8367, prior_entropy: 0.9835, recall: 0.8367, relative_absolute_error: 0.531, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.6888, scimark_benchmark: 1287.8963, usercpu_time_millis: 1843.862, usercpu_time_millis_testing: 90.869, usercpu_time_millis_training: 1752.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.8158, kappa: 0.6212, kb_relative_information_score: 20317.1307, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8172, predictive_accuracy: 0.8173, prior_entropy: 0.9835, recall: 0.8173, relative_absolute_error: 0.5847, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.7305, scimark_benchmark: 1286.6144, usercpu_time_millis: 1603.807, usercpu_time_millis_testing: 65.621, usercpu_time_millis_training: 1538.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9271, f_measure: 0.8444, kappa: 0.6807, kb_relative_information_score: 24117.5212, mean_absolute_error: 0.2429, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8445, predictive_accuracy: 0.8449, prior_entropy: 0.9835, recall: 0.8449, relative_absolute_error: 0.4971, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.6701, scimark_benchmark: 1281.449, usercpu_time_millis: 1025.409, usercpu_time_millis_testing: 39.709, usercpu_time_millis_training: 985.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.8424, kappa: 0.6769, kb_relative_information_score: 24255.5793, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8424, predictive_accuracy: 0.8428, prior_entropy: 0.9835, recall: 0.8428, relative_absolute_error: 0.4919, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.6745, scimark_benchmark: 1298.4835, usercpu_time_millis: 646.775, usercpu_time_millis_testing: 12.599, usercpu_time_millis_training: 634.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.8394, kappa: 0.6706, kb_relative_information_score: 23688.4828, mean_absolute_error: 0.2474, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8395, predictive_accuracy: 0.8399, prior_entropy: 0.9835, recall: 0.8399, relative_absolute_error: 0.5064, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3358, root_relative_squared_error: 0.6794, scimark_benchmark: 1245.2824, usercpu_time_millis: 1940.546, usercpu_time_millis_testing: 72.071, usercpu_time_millis_training: 1868.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9117, kappa: 0.8192, kb_relative_information_score: 31262.8954, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9117, predictive_accuracy: 0.9117, prior_entropy: 0.9835, recall: 0.9117, relative_absolute_error: 0.3372, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.5279, scimark_benchmark: 1257.2142, usercpu_time_millis: 2419.917, usercpu_time_millis_testing: 38.141, usercpu_time_millis_training: 2381.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.8526, kappa: 0.6976, kb_relative_information_score: 25147.5031, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8526, predictive_accuracy: 0.853, prior_entropy: 0.9835, recall: 0.853, relative_absolute_error: 0.4729, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.6552, scimark_benchmark: 1234.7568, usercpu_time_millis: 1216.874, usercpu_time_millis_testing: 33.836, usercpu_time_millis_training: 1183.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.8562, kappa: 0.7049, kb_relative_information_score: 25343.8782, mean_absolute_error: 0.2296, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8563, predictive_accuracy: 0.8566, prior_entropy: 0.9835, recall: 0.8566, relative_absolute_error: 0.4698, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.6472, scimark_benchmark: 1242.1981, usercpu_time_millis: 1024.838, usercpu_time_millis_testing: 32.176, usercpu_time_millis_training: 992.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8546, f_measure: 0.7561, kappa: 0.5006, kb_relative_information_score: 9549.6325, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.78, predictive_accuracy: 0.7665, prior_entropy: 0.9835, recall: 0.7665, relative_absolute_error: 0.8287, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4247, root_relative_squared_error: 0.8592, scimark_benchmark: 1255.3073, usercpu_time_millis: 292.811, usercpu_time_millis_testing: 23.738, usercpu_time_millis_training: 269.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.8748, kappa: 0.7434, kb_relative_information_score: 27026.089, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8748, predictive_accuracy: 0.8751, prior_entropy: 0.9835, recall: 0.8751, relative_absolute_error: 0.4327, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.304, root_relative_squared_error: 0.6151, scimark_benchmark: 1254.2416, usercpu_time_millis: 3040.361, usercpu_time_millis_testing: 82.016, usercpu_time_millis_training: 2958.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9225, f_measure: 0.8387, kappa: 0.6691, kb_relative_information_score: 23484.1814, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8388, predictive_accuracy: 0.8393, prior_entropy: 0.9835, recall: 0.8393, relative_absolute_error: 0.5117, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3364, root_relative_squared_error: 0.6807, scimark_benchmark: 1236.2757, usercpu_time_millis: 1680.285, usercpu_time_millis_testing: 53.023, usercpu_time_millis_training: 1627.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.833, kappa: 0.657, kb_relative_information_score: 22245.5412, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8338, predictive_accuracy: 0.834, prior_entropy: 0.9835, recall: 0.834, relative_absolute_error: 0.5424, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.6938, scimark_benchmark: 1247.1978, usercpu_time_millis: 137.469, usercpu_time_millis_testing: 4.722, usercpu_time_millis_training: 132.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8998, f_measure: 0.8163, kappa: 0.6221, kb_relative_information_score: 20200.5809, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8181, predictive_accuracy: 0.818, prior_entropy: 0.9835, recall: 0.818, relative_absolute_error: 0.5885, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.7287, scimark_benchmark: 1265.4886, usercpu_time_millis: 1188.983, usercpu_time_millis_testing: 65.002, usercpu_time_millis_training: 1123.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8177, kappa: 0.6256, kb_relative_information_score: 20936.6885, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8182, predictive_accuracy: 0.8187, prior_entropy: 0.9835, recall: 0.8187, relative_absolute_error: 0.5693, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.725, scimark_benchmark: 1263.8117, usercpu_time_millis: 1444.617, usercpu_time_millis_testing: 59.996, usercpu_time_millis_training: 1384.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.8823, kappa: 0.7588, kb_relative_information_score: 27636.2127, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8823, predictive_accuracy: 0.8825, prior_entropy: 0.9835, recall: 0.8825, relative_absolute_error: 0.4207, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.5985, scimark_benchmark: 1244.0396, usercpu_time_millis: 299.142, usercpu_time_millis_testing: 10.524, usercpu_time_millis_training: 288.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.8058, kappa: 0.6004, kb_relative_information_score: 19090.791, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8085, predictive_accuracy: 0.808, prior_entropy: 0.9835, recall: 0.808, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7524, scimark_benchmark: 1261.3367, usercpu_time_millis: 787.24, usercpu_time_millis_testing: 45.644, usercpu_time_millis_training: 741.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, f_measure: 0.8334, kappa: 0.6572, kb_relative_information_score: 19918.2437, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8357, predictive_accuracy: 0.835, prior_entropy: 0.9835, recall: 0.835, relative_absolute_error: 0.6037, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.7104, scimark_benchmark: 1259.8375, usercpu_time_millis: 647.016, usercpu_time_millis_testing: 39.68, usercpu_time_millis_training: 607.336,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.8114, kappa: 0.6119, kb_relative_information_score: 19584.8411, mean_absolute_error: 0.2943, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8142, predictive_accuracy: 0.8135, prior_entropy: 0.9835, recall: 0.8135, relative_absolute_error: 0.6022, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.7388, scimark_benchmark: 1245.48, usercpu_time_millis: 1398.286, usercpu_time_millis_testing: 92.965, usercpu_time_millis_training: 1305.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9288, kappa: 0.8542, kb_relative_information_score: 34849.3348, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9288, predictive_accuracy: 0.9288, prior_entropy: 0.9835, recall: 0.9288, relative_absolute_error: 0.2497, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.4691, scimark_benchmark: 1252.1923, usercpu_time_millis: 604.205, usercpu_time_millis_testing: 11.946, usercpu_time_millis_training: 592.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.8364, kappa: 0.6644, kb_relative_information_score: 23411.0115, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8365, predictive_accuracy: 0.837, prior_entropy: 0.9835, recall: 0.837, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.6852, scimark_benchmark: 1267.4378, usercpu_time_millis: 3976.418, usercpu_time_millis_testing: 102.751, usercpu_time_millis_training: 3873.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.904, kappa: 0.8033, kb_relative_information_score: 30155.2318, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9039, predictive_accuracy: 0.904, prior_entropy: 0.9835, recall: 0.904, relative_absolute_error: 0.3626, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.5507, scimark_benchmark: 1243.1278, usercpu_time_millis: 1277.837, usercpu_time_millis_testing: 23.175, usercpu_time_millis_training: 1254.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.8801, kappa: 0.754, kb_relative_information_score: 26008.8491, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8804, predictive_accuracy: 0.8805, prior_entropy: 0.9835, recall: 0.8805, relative_absolute_error: 0.4639, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3022, root_relative_squared_error: 0.6113, scimark_benchmark: 1266.4207, usercpu_time_millis: 318.643, usercpu_time_millis_testing: 13.666, usercpu_time_millis_training: 304.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.8791, kappa: 0.7522, kb_relative_information_score: 27478.1194, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.879, predictive_accuracy: 0.8792, prior_entropy: 0.9835, recall: 0.8792, relative_absolute_error: 0.4227, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.6055, scimark_benchmark: 1256.0441, usercpu_time_millis: 661.664, usercpu_time_millis_testing: 11.839, usercpu_time_millis_training: 649.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8566, kappa: 0.7059, kb_relative_information_score: 25705.05, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8566, predictive_accuracy: 0.857, prior_entropy: 0.9835, recall: 0.857, relative_absolute_error: 0.4599, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.6469, scimark_benchmark: 1255.9395, usercpu_time_millis: 5021.026, usercpu_time_millis_testing: 116.172, usercpu_time_millis_training: 4904.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.8182, kappa: 0.6259, kb_relative_information_score: 18627.6471, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8218, predictive_accuracy: 0.8205, prior_entropy: 0.9835, recall: 0.8205, relative_absolute_error: 0.6305, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.7354, scimark_benchmark: 1269.6125, usercpu_time_millis: 768.698, usercpu_time_millis_testing: 54.657, usercpu_time_millis_training: 714.041,

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