OpenML
Supervised Classification on musk

Supervised Classification on musk

Task 3950 Supervised Classification musk 66544 runs submitted
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  • mythbusting_1 study_1 study_15 study_20 under100k
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.99, kappa: 0.9616, kb_relative_information_score: 6174.7873, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.99, predictive_accuracy: 0.99, prior_entropy: 0.6204, recall: 0.99, relative_absolute_error: 0.0643, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0879, root_relative_squared_error: 0.2435, scimark_benchmark: 1221.9027, usercpu_time_millis: 375.731, usercpu_time_millis_testing: 2.456, usercpu_time_millis_training: 373.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.9309, kappa: 0.7224, kb_relative_information_score: 4003.844, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9323, predictive_accuracy: 0.9347, prior_entropy: 0.6204, recall: 0.9347, relative_absolute_error: 0.3683, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.6041, scimark_benchmark: 1275.0272, usercpu_time_millis: 448.628, usercpu_time_millis_testing: 3.021, usercpu_time_millis_training: 445.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1276.7646, usercpu_time_millis: 270.218, usercpu_time_millis_testing: 0.768, usercpu_time_millis_training: 269.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6575.101, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0038, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0166, root_relative_squared_error: 0.046, scimark_benchmark: 1230.5552, usercpu_time_millis: 248.751, usercpu_time_millis_testing: 1.456, usercpu_time_millis_training: 247.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7477, f_measure: 0.8899, kappa: 0.5292, kb_relative_information_score: 2490.1189, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9165, predictive_accuracy: 0.9074, prior_entropy: 0.6204, recall: 0.9074, relative_absolute_error: 0.6396, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2861, root_relative_squared_error: 0.7922, scimark_benchmark: 1231.9813, usercpu_time_millis: 953.494, usercpu_time_millis_testing: 11.856, usercpu_time_millis_training: 941.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9983, kappa: 0.9936, kb_relative_information_score: 6529.1798, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 0.6204, recall: 0.9983, relative_absolute_error: 0.0109, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0366, root_relative_squared_error: 0.1014, scimark_benchmark: 1178.9029, usercpu_time_millis: 257.391, usercpu_time_millis_testing: 1.164, usercpu_time_millis_training: 256.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.8904, kappa: 0.5313, kb_relative_information_score: 2504.7726, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9168, predictive_accuracy: 0.9077, prior_entropy: 0.6204, recall: 0.9077, relative_absolute_error: 0.6368, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2851, root_relative_squared_error: 0.7897, scimark_benchmark: 1280.9766, usercpu_time_millis: 952.879, usercpu_time_millis_testing: 12.024, usercpu_time_millis_training: 940.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6574.407, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0032, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0182, root_relative_squared_error: 0.0504, scimark_benchmark: 1248.0169, usercpu_time_millis: 232.379, usercpu_time_millis_testing: 0.774, usercpu_time_millis_training: 231.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1231.3429, usercpu_time_millis: 255.45, usercpu_time_millis_testing: 0.777, usercpu_time_millis_training: 254.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.993, kb_relative_information_score: 6466.4708, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 0.6204, recall: 0.9982, relative_absolute_error: 0.0204, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0407, root_relative_squared_error: 0.1127, scimark_benchmark: 1231.9785, usercpu_time_millis: 482.546, usercpu_time_millis_testing: 3.309, usercpu_time_millis_training: 479.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9994, kb_relative_information_score: 6574.8568, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.6204, recall: 0.9998, relative_absolute_error: 0.0042, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0104, root_relative_squared_error: 0.0287, scimark_benchmark: 1265.5131, usercpu_time_millis: 354.384, usercpu_time_millis_testing: 2.629, usercpu_time_millis_training: 351.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9965, kappa: 0.9867, kb_relative_information_score: 6415.5707, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 0.6204, recall: 0.9965, relative_absolute_error: 0.0283, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0568, root_relative_squared_error: 0.1573, scimark_benchmark: 1222.7675, usercpu_time_millis: 283.906, usercpu_time_millis_testing: 1.583, usercpu_time_millis_training: 282.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: 6547.7532, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.6204, recall: 0.9995, relative_absolute_error: 0.0081, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0231, root_relative_squared_error: 0.064, scimark_benchmark: 1232.4782, usercpu_time_millis: 271.826, usercpu_time_millis_testing: 1.495, usercpu_time_millis_training: 270.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1260.4307, usercpu_time_millis: 261.386, usercpu_time_millis_testing: 0.859, usercpu_time_millis_training: 260.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9821, kappa: 0.931, kb_relative_information_score: 5810.4559, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.982, predictive_accuracy: 0.9821, prior_entropy: 0.6204, recall: 0.9821, relative_absolute_error: 0.1157, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1158, root_relative_squared_error: 0.3207, scimark_benchmark: 1277.9412, usercpu_time_millis: 324.911, usercpu_time_millis_testing: 2.371, usercpu_time_millis_training: 322.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9639, kappa: 0.8592, kb_relative_information_score: 5192.1822, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9639, predictive_accuracy: 0.9645, prior_entropy: 0.6204, recall: 0.9645, relative_absolute_error: 0.2061, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.4612, scimark_benchmark: 1235.5312, usercpu_time_millis: 597.343, usercpu_time_millis_testing: 6.27, usercpu_time_millis_training: 591.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9879, kappa: 0.9537, kb_relative_information_score: 6064.3447, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9879, predictive_accuracy: 0.9879, prior_entropy: 0.6204, recall: 0.9879, relative_absolute_error: 0.081, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0996, root_relative_squared_error: 0.2759, scimark_benchmark: 1225.6637, usercpu_time_millis: 363.888, usercpu_time_millis_testing: 3.218, usercpu_time_millis_training: 360.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9492, kappa: 0.8015, kb_relative_information_score: 4705.384, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.949, predictive_accuracy: 0.9503, prior_entropy: 0.6204, recall: 0.9503, relative_absolute_error: 0.2725, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.5404, scimark_benchmark: 1220.7864, usercpu_time_millis: 666.51, usercpu_time_millis_testing: 6.89, usercpu_time_millis_training: 659.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9986, kappa: 0.9948, kb_relative_information_score: 6506.8734, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 0.6204, recall: 0.9986, relative_absolute_error: 0.0136, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0358, root_relative_squared_error: 0.0991, scimark_benchmark: 1221.1855, usercpu_time_millis: 403.205, usercpu_time_millis_testing: 2.482, usercpu_time_millis_training: 400.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9642, kappa: 0.8604, kb_relative_information_score: 5119.4201, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9642, predictive_accuracy: 0.9648, prior_entropy: 0.6204, recall: 0.9648, relative_absolute_error: 0.2134, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.441, scimark_benchmark: 1273.5344, usercpu_time_millis: 320.029, usercpu_time_millis_testing: 2.564, usercpu_time_millis_training: 317.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6578.5795, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0036, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0094, root_relative_squared_error: 0.026, scimark_benchmark: 1236.9934, usercpu_time_millis: 322.926, usercpu_time_millis_testing: 2.143, usercpu_time_millis_training: 320.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: 6547.7532, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.6204, recall: 0.9995, relative_absolute_error: 0.0081, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0231, root_relative_squared_error: 0.064, scimark_benchmark: 1279.9744, usercpu_time_millis: 254.789, usercpu_time_millis_testing: 1.417, usercpu_time_millis_training: 253.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9909, kappa: 0.9652, kb_relative_information_score: 6232.832, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9909, predictive_accuracy: 0.9909, prior_entropy: 0.6204, recall: 0.9909, relative_absolute_error: 0.0554, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.226, scimark_benchmark: 1262.4237, usercpu_time_millis: 282.84, usercpu_time_millis_testing: 2.492, usercpu_time_millis_training: 280.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.951, kappa: 0.8056, kb_relative_information_score: 4738.7013, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9518, predictive_accuracy: 0.9529, prior_entropy: 0.6204, recall: 0.9529, relative_absolute_error: 0.2802, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.5204, scimark_benchmark: 1269.1843, usercpu_time_millis: 486.137, usercpu_time_millis_testing: 4.25, usercpu_time_millis_training: 481.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1267.1117, usercpu_time_millis: 260.586, usercpu_time_millis_testing: 0.793, usercpu_time_millis_training: 259.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9536, kappa: 0.8193, kb_relative_information_score: 4818.2318, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9534, predictive_accuracy: 0.9544, prior_entropy: 0.6204, recall: 0.9544, relative_absolute_error: 0.2497, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.188, root_relative_squared_error: 0.5208, scimark_benchmark: 1276.5215, usercpu_time_millis: 618.33, usercpu_time_millis_testing: 6.878, usercpu_time_millis_training: 611.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1271.4421, usercpu_time_millis: 254.723, usercpu_time_millis_testing: 0.757, usercpu_time_millis_training: 253.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9633, kappa: 0.8572, kb_relative_information_score: 5157.3591, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9631, predictive_accuracy: 0.9638, prior_entropy: 0.6204, recall: 0.9638, relative_absolute_error: 0.2136, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.4636, scimark_benchmark: 1224.3543, usercpu_time_millis: 696.83, usercpu_time_millis_testing: 7.682, usercpu_time_millis_training: 689.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9734, kappa: 0.8962, kb_relative_information_score: 5575.5388, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9734, predictive_accuracy: 0.9738, prior_entropy: 0.6204, recall: 0.9738, relative_absolute_error: 0.1516, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.3944, scimark_benchmark: 1266.1574, usercpu_time_millis: 527.463, usercpu_time_millis_testing: 4.491, usercpu_time_millis_training: 522.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9789, kappa: 0.9187, kb_relative_information_score: 5858.3448, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9789, predictive_accuracy: 0.9791, prior_entropy: 0.6204, recall: 0.9791, relative_absolute_error: 0.1116, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.121, root_relative_squared_error: 0.335, scimark_benchmark: 1218.0475, usercpu_time_millis: 427.909, usercpu_time_millis_testing: 3.244, usercpu_time_millis_training: 424.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9848, kappa: 0.9418, kb_relative_information_score: 6061.7793, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9848, predictive_accuracy: 0.9848, prior_entropy: 0.6204, recall: 0.9848, relative_absolute_error: 0.0818, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1015, root_relative_squared_error: 0.2812, scimark_benchmark: 1280.3056, usercpu_time_millis: 319.436, usercpu_time_millis_testing: 3.102, usercpu_time_millis_training: 316.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9639, kappa: 0.8594, kb_relative_information_score: 5155.7301, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9637, predictive_accuracy: 0.9644, prior_entropy: 0.6204, recall: 0.9644, relative_absolute_error: 0.2138, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.4643, scimark_benchmark: 1237.5796, usercpu_time_millis: 621.07, usercpu_time_millis_testing: 6.777, usercpu_time_millis_training: 614.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9687, kappa: 0.8785, kb_relative_information_score: 5369.4847, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9686, predictive_accuracy: 0.9691, prior_entropy: 0.6204, recall: 0.9691, relative_absolute_error: 0.1821, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.156, root_relative_squared_error: 0.4321, scimark_benchmark: 1231.2124, usercpu_time_millis: 633.511, usercpu_time_millis_testing: 5.99, usercpu_time_millis_training: 627.521,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9954, kb_relative_information_score: 6545.027, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.6204, recall: 0.9988, relative_absolute_error: 0.0077, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0315, root_relative_squared_error: 0.0872, scimark_benchmark: 1231.0835, usercpu_time_millis: 255.603, usercpu_time_millis_testing: 1.051, usercpu_time_millis_training: 254.552,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6590.8604, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0011, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0016, root_relative_squared_error: 0.0044, scimark_benchmark: 1268.4839, usercpu_time_millis: 378.753, usercpu_time_millis_testing: 5.068, usercpu_time_millis_training: 373.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6591.5955, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0009, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0025, root_relative_squared_error: 0.0069, scimark_benchmark: 1234.2962, usercpu_time_millis: 192.421, usercpu_time_millis_testing: 4.334, usercpu_time_millis_training: 188.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6290.9432, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0693, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0413, root_relative_squared_error: 0.1143, scimark_benchmark: 1276.8628, usercpu_time_millis: 64.043, usercpu_time_millis_testing: 2.498, usercpu_time_millis_training: 61.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6589.4368, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0014, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0019, root_relative_squared_error: 0.0054, scimark_benchmark: 1231.9751, usercpu_time_millis: 227.092, usercpu_time_millis_testing: 3.246, usercpu_time_millis_training: 223.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6391.8668, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.047, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0324, root_relative_squared_error: 0.0896, scimark_benchmark: 1259.2111, usercpu_time_millis: 399.828, usercpu_time_millis_testing: 10.928, usercpu_time_millis_training: 388.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6513.0677, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0179, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.025, root_relative_squared_error: 0.0691, scimark_benchmark: 1281.1281, usercpu_time_millis: 93.382, usercpu_time_millis_testing: 2.609, usercpu_time_millis_training: 90.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6579.0455, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0111, root_relative_squared_error: 0.0308, scimark_benchmark: 1261.7566, usercpu_time_millis: 57.441, usercpu_time_millis_testing: 2.031, usercpu_time_millis_training: 55.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6575.8174, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0024, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682, scimark_benchmark: 1272.1195, usercpu_time_millis: 164.527, usercpu_time_millis_testing: 3.577, usercpu_time_millis_training: 160.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6593.3448, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0005, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0008, root_relative_squared_error: 0.0023, scimark_benchmark: 1219.6072, usercpu_time_millis: 514.708, usercpu_time_millis_testing: 6.895, usercpu_time_millis_training: 507.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6424.369, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0389, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0296, root_relative_squared_error: 0.0819, scimark_benchmark: 1263.7313, usercpu_time_millis: 678.507, usercpu_time_millis_testing: 12.276, usercpu_time_millis_training: 666.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6575.845, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0024, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682, scimark_benchmark: 1263.2882, usercpu_time_millis: 196.236, usercpu_time_millis_testing: 3.913, usercpu_time_millis_training: 192.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6334.0335, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0561, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.041, root_relative_squared_error: 0.1135, scimark_benchmark: 1229.3973, usercpu_time_millis: 10.504, usercpu_time_millis_testing: 1.008, usercpu_time_millis_training: 9.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6593.3459, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0005, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0014, root_relative_squared_error: 0.0038, scimark_benchmark: 1258.9603, usercpu_time_millis: 110.824, usercpu_time_millis_testing: 2.03, usercpu_time_millis_training: 108.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6588.3909, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0015, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0103, root_relative_squared_error: 0.0285, scimark_benchmark: 1263.674, usercpu_time_millis: 270.519, usercpu_time_millis_testing: 7.758, usercpu_time_millis_training: 262.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6544.2891, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0103, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0239, root_relative_squared_error: 0.0662, scimark_benchmark: 1270.0243, usercpu_time_millis: 303.246, usercpu_time_millis_testing: 4.552, usercpu_time_millis_training: 298.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9466, kappa: 0.7819, kb_relative_information_score: 3847.2779, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9533, predictive_accuracy: 0.9506, prior_entropy: 0.6204, recall: 0.9506, relative_absolute_error: 0.441, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.5495, scimark_benchmark: 1258.6571, usercpu_time_millis: 245.038, usercpu_time_millis_testing: 20.479, usercpu_time_millis_training: 224.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6329.6509, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0596, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.039, root_relative_squared_error: 0.1081, scimark_benchmark: 1270.7003, usercpu_time_millis: 455.865, usercpu_time_millis_testing: 10.931, usercpu_time_millis_training: 444.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6447.6834, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0336, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0277, root_relative_squared_error: 0.0767, scimark_benchmark: 1273.7328, usercpu_time_millis: 221.659, usercpu_time_millis_testing: 4.908, usercpu_time_millis_training: 216.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6114.9749, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.1083, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0551, root_relative_squared_error: 0.1526, scimark_benchmark: 1267.7228, usercpu_time_millis: 213.976, usercpu_time_millis_testing: 8.688, usercpu_time_millis_training: 205.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6573.7757, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.003, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0247, root_relative_squared_error: 0.0683, scimark_benchmark: 1279.7402, usercpu_time_millis: 332.442, usercpu_time_millis_testing: 6.962, usercpu_time_millis_training: 325.48,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6575.1335, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0026, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0681, scimark_benchmark: 1224.5639, usercpu_time_millis: 207.228, usercpu_time_millis_testing: 4.045, usercpu_time_millis_training: 203.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6585.2597, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0025, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0024, root_relative_squared_error: 0.0067, scimark_benchmark: 1232.6109, usercpu_time_millis: 366.732, usercpu_time_millis_testing: 5.757, usercpu_time_millis_training: 360.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6574.037, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0029, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0245, root_relative_squared_error: 0.068, scimark_benchmark: 1264.3306, usercpu_time_millis: 603.586, usercpu_time_millis_testing: 8.385, usercpu_time_millis_training: 595.201,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 5953.279, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0704, root_relative_squared_error: 0.1951, scimark_benchmark: 1276.0699, usercpu_time_millis: 102.919, usercpu_time_millis_testing: 4.271, usercpu_time_millis_training: 98.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9856, kappa: 0.9438, kb_relative_information_score: 5318.031, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9861, predictive_accuracy: 0.9859, prior_entropy: 0.6204, recall: 0.9859, relative_absolute_error: 0.2271, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1245, root_relative_squared_error: 0.3449, scimark_benchmark: 1225.9606, usercpu_time_millis: 123.96, usercpu_time_millis_testing: 6.893, usercpu_time_millis_training: 117.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6575.7661, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0025, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0683, scimark_benchmark: 1228.0762, usercpu_time_millis: 345.095, usercpu_time_millis_testing: 6.328, usercpu_time_millis_training: 338.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6350.544, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0553, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.037, root_relative_squared_error: 0.1024, scimark_benchmark: 1272.6602, usercpu_time_millis: 126.246, usercpu_time_millis_testing: 2.955, usercpu_time_millis_training: 123.291,

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