OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7189, f_measure: 0.686, kappa: 0.3673, kb_relative_information_score: 554.6652, mean_absolute_error: 0.4332, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.691, predictive_accuracy: 0.6902, prior_entropy: 0.9948, recall: 0.6902, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.471, root_relative_squared_error: 0.9455, scimark_benchmark: 1793.5812, usercpu_time_millis: 2910.235, usercpu_time_millis_testing: 14.513, usercpu_time_millis_training: 2895.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7179, f_measure: 0.6877, kappa: 0.3705, kb_relative_information_score: 565.7165, mean_absolute_error: 0.4317, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.692, predictive_accuracy: 0.6915, prior_entropy: 0.9948, recall: 0.6915, relative_absolute_error: 0.8696, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.9458, scimark_benchmark: 1814.7004, usercpu_time_millis: 3028.438, usercpu_time_millis_testing: 14.087, usercpu_time_millis_training: 3014.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7131, f_measure: 0.6779, kappa: 0.351, kb_relative_information_score: 611.38, mean_absolute_error: 0.4249, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6826, predictive_accuracy: 0.6822, prior_entropy: 0.9948, recall: 0.6822, relative_absolute_error: 0.8559, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9501, scimark_benchmark: 1817.2387, usercpu_time_millis: 3894.348, usercpu_time_millis_testing: 13.774, usercpu_time_millis_training: 3880.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7254, f_measure: 0.693, kappa: 0.3822, kb_relative_information_score: 535.4937, mean_absolute_error: 0.4362, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7006, predictive_accuracy: 0.6982, prior_entropy: 0.9948, recall: 0.6982, relative_absolute_error: 0.8786, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4696, root_relative_squared_error: 0.9425, scimark_benchmark: 1850.8185, usercpu_time_millis: 2594.04, usercpu_time_millis_testing: 13.478, usercpu_time_millis_training: 2580.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.6761, kappa: 0.3475, kb_relative_information_score: 604.7191, mean_absolute_error: 0.4257, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6811, predictive_accuracy: 0.6806, prior_entropy: 0.9948, recall: 0.6806, relative_absolute_error: 0.8576, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.9504, scimark_benchmark: 1850.4554, usercpu_time_millis: 3868.288, usercpu_time_millis_testing: 14.117, usercpu_time_millis_training: 3854.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7131, f_measure: 0.6756, kappa: 0.3464, kb_relative_information_score: 608.7967, mean_absolute_error: 0.4252, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6805, predictive_accuracy: 0.6801, prior_entropy: 0.9948, recall: 0.6801, relative_absolute_error: 0.8566, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.473, root_relative_squared_error: 0.9493, scimark_benchmark: 1850.2875, usercpu_time_millis: 3906.325, usercpu_time_millis_testing: 14.769, usercpu_time_millis_training: 3891.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.6921, kappa: 0.3807, kb_relative_information_score: 519.2546, mean_absolute_error: 0.4384, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7004, predictive_accuracy: 0.6977, prior_entropy: 0.9948, recall: 0.6977, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9414, scimark_benchmark: 1724.8908, usercpu_time_millis: 2574.06, usercpu_time_millis_testing: 14.887, usercpu_time_millis_training: 2559.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, f_measure: 0.7034, kappa: 0.4031, kb_relative_information_score: 557.5581, mean_absolute_error: 0.4344, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7111, predictive_accuracy: 0.7083, prior_entropy: 0.9948, recall: 0.7083, relative_absolute_error: 0.8751, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4631, root_relative_squared_error: 0.9296, scimark_benchmark: 1787.0684, usercpu_time_millis: 1982.876, usercpu_time_millis_testing: 14.679, usercpu_time_millis_training: 1968.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7134, f_measure: 0.6804, kappa: 0.356, kb_relative_information_score: 605.7629, mean_absolute_error: 0.4257, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6851, predictive_accuracy: 0.6846, prior_entropy: 0.9948, recall: 0.6846, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9492, scimark_benchmark: 1877.3427, usercpu_time_millis: 3698.833, usercpu_time_millis_testing: 13.215, usercpu_time_millis_training: 3685.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7532, f_measure: 0.7094, kappa: 0.4149, kb_relative_information_score: 590.5923, mean_absolute_error: 0.4307, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7166, predictive_accuracy: 0.7139, prior_entropy: 0.9948, recall: 0.7139, relative_absolute_error: 0.8675, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.9227, scimark_benchmark: 1752.2708, usercpu_time_millis: 1651.169, usercpu_time_millis_testing: 14.406, usercpu_time_millis_training: 1636.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7304, f_measure: 0.6921, kappa: 0.381, kb_relative_information_score: 516.28, mean_absolute_error: 0.4389, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7011, predictive_accuracy: 0.6979, prior_entropy: 0.9948, recall: 0.6979, relative_absolute_error: 0.8841, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4681, root_relative_squared_error: 0.9396, scimark_benchmark: 1743.9917, usercpu_time_millis: 2402.876, usercpu_time_millis_testing: 14.063, usercpu_time_millis_training: 2388.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.718, f_measure: 0.6878, kappa: 0.3709, kb_relative_information_score: 564.5455, mean_absolute_error: 0.4318, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6924, predictive_accuracy: 0.6918, prior_entropy: 0.9948, recall: 0.6918, relative_absolute_error: 0.8699, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4713, root_relative_squared_error: 0.9461, scimark_benchmark: 1722.1204, usercpu_time_millis: 3047.982, usercpu_time_millis_testing: 14.635, usercpu_time_millis_training: 3033.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7241, f_measure: 0.6904, kappa: 0.3769, kb_relative_information_score: 540.1246, mean_absolute_error: 0.4354, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6976, predictive_accuracy: 0.6955, prior_entropy: 0.9948, recall: 0.6955, relative_absolute_error: 0.8772, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4698, root_relative_squared_error: 0.943, scimark_benchmark: 1753.4384, usercpu_time_millis: 2674.034, usercpu_time_millis_testing: 13.698, usercpu_time_millis_training: 2660.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.714, f_measure: 0.6783, kappa: 0.3519, kb_relative_information_score: 606.1406, mean_absolute_error: 0.4256, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6833, predictive_accuracy: 0.6828, prior_entropy: 0.9948, recall: 0.6828, relative_absolute_error: 0.8574, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4727, root_relative_squared_error: 0.9488, scimark_benchmark: 1787.3798, usercpu_time_millis: 3953.869, usercpu_time_millis_testing: 14.533, usercpu_time_millis_training: 3939.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7185, f_measure: 0.6864, kappa: 0.3681, kb_relative_information_score: 560.2655, mean_absolute_error: 0.4325, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6911, predictive_accuracy: 0.6905, prior_entropy: 0.9948, recall: 0.6905, relative_absolute_error: 0.8711, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4711, root_relative_squared_error: 0.9455, scimark_benchmark: 1852.9259, usercpu_time_millis: 2894.348, usercpu_time_millis_testing: 14.075, usercpu_time_millis_training: 2880.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7218, f_measure: 0.6869, kappa: 0.3698, kb_relative_information_score: 541.3505, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.694, predictive_accuracy: 0.6921, prior_entropy: 0.9948, recall: 0.6921, relative_absolute_error: 0.8764, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4704, root_relative_squared_error: 0.9443, scimark_benchmark: 1778.7038, usercpu_time_millis: 2982.172, usercpu_time_millis_testing: 15.371, usercpu_time_millis_training: 2966.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.674, kappa: 0.3432, kb_relative_information_score: 605.8906, mean_absolute_error: 0.4255, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6788, predictive_accuracy: 0.6785, prior_entropy: 0.9948, recall: 0.6785, relative_absolute_error: 0.8572, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.473, root_relative_squared_error: 0.9494, scimark_benchmark: 1822.7572, usercpu_time_millis: 3863.71, usercpu_time_millis_testing: 13.871, usercpu_time_millis_training: 3849.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7197, f_measure: 0.6859, kappa: 0.3672, kb_relative_information_score: 557.9325, mean_absolute_error: 0.4328, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6911, predictive_accuracy: 0.6902, prior_entropy: 0.9948, recall: 0.6902, relative_absolute_error: 0.8719, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.9451, scimark_benchmark: 1855.4813, usercpu_time_millis: 2866.783, usercpu_time_millis_testing: 13.109, usercpu_time_millis_training: 2853.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7198, f_measure: 0.6856, kappa: 0.3667, kb_relative_information_score: 547.6292, mean_absolute_error: 0.4341, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6914, predictive_accuracy: 0.6902, prior_entropy: 0.9948, recall: 0.6902, relative_absolute_error: 0.8745, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.9451, scimark_benchmark: 1835.2428, usercpu_time_millis: 2899.303, usercpu_time_millis_testing: 14.643, usercpu_time_millis_training: 2884.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7139, f_measure: 0.6771, kappa: 0.3495, kb_relative_information_score: 603.1268, mean_absolute_error: 0.426, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6823, predictive_accuracy: 0.6817, prior_entropy: 0.9948, recall: 0.6817, relative_absolute_error: 0.8582, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9491, scimark_benchmark: 1857.5664, usercpu_time_millis: 3950.78, usercpu_time_millis_testing: 12.461, usercpu_time_millis_training: 3938.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.6769, kappa: 0.3491, kb_relative_information_score: 606.1592, mean_absolute_error: 0.4255, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.682, predictive_accuracy: 0.6814, prior_entropy: 0.9948, recall: 0.6814, relative_absolute_error: 0.8571, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9505, scimark_benchmark: 1839.272, usercpu_time_millis: 3727.816, usercpu_time_millis_testing: 13.372, usercpu_time_millis_training: 3714.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.6779, kappa: 0.3512, kb_relative_information_score: 606.9586, mean_absolute_error: 0.4254, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6831, predictive_accuracy: 0.6825, prior_entropy: 0.9948, recall: 0.6825, relative_absolute_error: 0.857, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.95, scimark_benchmark: 1801.6673, usercpu_time_millis: 3844.841, usercpu_time_millis_testing: 13.79, usercpu_time_millis_training: 3831.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7123, f_measure: 0.673, kappa: 0.3415, kb_relative_information_score: 598.1566, mean_absolute_error: 0.4265, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6787, predictive_accuracy: 0.678, prior_entropy: 0.9948, recall: 0.678, relative_absolute_error: 0.8591, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.9504, scimark_benchmark: 1816.7553, usercpu_time_millis: 3860.816, usercpu_time_millis_testing: 13.559, usercpu_time_millis_training: 3847.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8496, f_measure: 0.7791, kappa: 0.5544, kb_relative_information_score: 1248.8721, mean_absolute_error: 0.3497, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7792, predictive_accuracy: 0.7795, prior_entropy: 0.9948, recall: 0.7795, relative_absolute_error: 0.7043, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8051, scimark_benchmark: 1849.3742, usercpu_time_millis: 13.717, usercpu_time_millis_testing: 0.74, usercpu_time_millis_training: 12.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, f_measure: 0.7931, kappa: 0.5828, kb_relative_information_score: 1456.1597, mean_absolute_error: 0.321, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7931, predictive_accuracy: 0.7934, prior_entropy: 0.9948, recall: 0.7934, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7826, scimark_benchmark: 1855.0232, usercpu_time_millis: 20.078, usercpu_time_millis_testing: 0.742, usercpu_time_millis_training: 19.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.7917, kappa: 0.58, kb_relative_information_score: 1640.6104, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7918, predictive_accuracy: 0.7921, prior_entropy: 0.9948, recall: 0.7921, relative_absolute_error: 0.5915, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.7706, scimark_benchmark: 1728.354, usercpu_time_millis: 37.973, usercpu_time_millis_testing: 0.816, usercpu_time_millis_training: 37.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.7893, kappa: 0.575, kb_relative_information_score: 1204.6151, mean_absolute_error: 0.3569, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7894, predictive_accuracy: 0.7897, prior_entropy: 0.9948, recall: 0.7897, relative_absolute_error: 0.7189, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8003, scimark_benchmark: 1727.8941, usercpu_time_millis: 40.048, usercpu_time_millis_testing: 2.184, usercpu_time_millis_training: 37.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.8103, kappa: 0.6176, kb_relative_information_score: 1559.6425, mean_absolute_error: 0.3082, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8103, predictive_accuracy: 0.8105, prior_entropy: 0.9948, recall: 0.8105, relative_absolute_error: 0.6208, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7539, scimark_benchmark: 1732.4635, usercpu_time_millis: 46.633, usercpu_time_millis_testing: 1.354, usercpu_time_millis_training: 45.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.7767, kappa: 0.5497, kb_relative_information_score: 1227.0466, mean_absolute_error: 0.3526, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7768, predictive_accuracy: 0.7771, prior_entropy: 0.9948, recall: 0.7771, relative_absolute_error: 0.7102, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4031, root_relative_squared_error: 0.8091, scimark_benchmark: 1842.6464, usercpu_time_millis: 22.953, usercpu_time_millis_testing: 0.861, usercpu_time_millis_training: 22.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8496, f_measure: 0.7786, kappa: 0.5534, kb_relative_information_score: 1559.824, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7787, predictive_accuracy: 0.779, prior_entropy: 0.9948, recall: 0.779, relative_absolute_error: 0.6096, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.396, root_relative_squared_error: 0.7949, scimark_benchmark: 1797.9687, usercpu_time_millis: 30.631, usercpu_time_millis_testing: 0.768, usercpu_time_millis_training: 29.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.7768, kappa: 0.5498, kb_relative_information_score: 1358.8114, mean_absolute_error: 0.3335, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7771, predictive_accuracy: 0.7774, prior_entropy: 0.9948, recall: 0.7774, relative_absolute_error: 0.6717, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3994, root_relative_squared_error: 0.8016, scimark_benchmark: 1728.0111, usercpu_time_millis: 20.615, usercpu_time_millis_testing: 0.776, usercpu_time_millis_training: 19.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.7956, kappa: 0.5877, kb_relative_information_score: 1448.5995, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7958, predictive_accuracy: 0.7961, prior_entropy: 0.9948, recall: 0.7961, relative_absolute_error: 0.6498, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.778, scimark_benchmark: 1849.8294, usercpu_time_millis: 30.098, usercpu_time_millis_testing: 0.965, usercpu_time_millis_training: 29.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, f_measure: 0.7894, kappa: 0.5752, kb_relative_information_score: 1357.9174, mean_absolute_error: 0.3351, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7897, predictive_accuracy: 0.7899, prior_entropy: 0.9948, recall: 0.7899, relative_absolute_error: 0.6751, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.7922, scimark_benchmark: 1733.7613, usercpu_time_millis: 56.564, usercpu_time_millis_testing: 1.07, usercpu_time_millis_training: 55.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.7984, kappa: 0.5934, kb_relative_information_score: 1309.2267, mean_absolute_error: 0.3427, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7985, predictive_accuracy: 0.7987, prior_entropy: 0.9948, recall: 0.7987, relative_absolute_error: 0.6903, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.7874, scimark_benchmark: 1749.9829, usercpu_time_millis: 38.693, usercpu_time_millis_testing: 1.236, usercpu_time_millis_training: 37.457,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, f_measure: 0.764, kappa: 0.5239, kb_relative_information_score: 957.3006, mean_absolute_error: 0.3885, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7642, predictive_accuracy: 0.7646, prior_entropy: 0.9948, recall: 0.7646, relative_absolute_error: 0.7826, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4179, root_relative_squared_error: 0.8387, scimark_benchmark: 1746.288, usercpu_time_millis: 57.249, usercpu_time_millis_testing: 4.791, usercpu_time_millis_training: 52.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, f_measure: 0.7987, kappa: 0.5941, kb_relative_information_score: 1339.5411, mean_absolute_error: 0.3383, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7987, predictive_accuracy: 0.799, prior_entropy: 0.9948, recall: 0.799, relative_absolute_error: 0.6815, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3909, root_relative_squared_error: 0.7846, scimark_benchmark: 1830.6487, usercpu_time_millis: 29.322, usercpu_time_millis_testing: 1.229, usercpu_time_millis_training: 28.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.8016, kappa: 0.6, kb_relative_information_score: 1413.8715, mean_absolute_error: 0.3284, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8017, predictive_accuracy: 0.8019, prior_entropy: 0.9948, recall: 0.8019, relative_absolute_error: 0.6615, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3858, root_relative_squared_error: 0.7744, scimark_benchmark: 1843.2259, usercpu_time_millis: 73.911, usercpu_time_millis_testing: 1.458, usercpu_time_millis_training: 72.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.7706, kappa: 0.5373, kb_relative_information_score: 1432.5776, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.771, predictive_accuracy: 0.7713, prior_entropy: 0.9948, recall: 0.7713, relative_absolute_error: 0.6482, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.8047, scimark_benchmark: 1849.9303, usercpu_time_millis: 28.931, usercpu_time_millis_testing: 0.362, usercpu_time_millis_training: 28.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.7359, kappa: 0.4675, kb_relative_information_score: 1546.9633, mean_absolute_error: 0.2988, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7359, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.6018, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.8648, scimark_benchmark: 1888.075, usercpu_time_millis: 33.563, usercpu_time_millis_testing: 0.385, usercpu_time_millis_training: 33.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.7605, kappa: 0.5168, kb_relative_information_score: 1153.87, mean_absolute_error: 0.3621, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7612, predictive_accuracy: 0.7614, prior_entropy: 0.9948, recall: 0.7614, relative_absolute_error: 0.7295, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8262, scimark_benchmark: 1848.321, usercpu_time_millis: 80.412, usercpu_time_millis_testing: 0.369, usercpu_time_millis_training: 80.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, f_measure: 0.7859, kappa: 0.5681, kb_relative_information_score: 1360.1806, mean_absolute_error: 0.3356, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7863, predictive_accuracy: 0.7865, prior_entropy: 0.9948, recall: 0.7865, relative_absolute_error: 0.676, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7929, scimark_benchmark: 1830.1185, usercpu_time_millis: 41.326, usercpu_time_millis_testing: 0.392, usercpu_time_millis_training: 40.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.7821, kappa: 0.5606, kb_relative_information_score: 1291.6049, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7822, predictive_accuracy: 0.7825, prior_entropy: 0.9948, recall: 0.7825, relative_absolute_error: 0.6946, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.7941, scimark_benchmark: 1828.9355, usercpu_time_millis: 148.309, usercpu_time_millis_testing: 0.835, usercpu_time_millis_training: 147.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8459, f_measure: 0.771, kappa: 0.5384, kb_relative_information_score: 1884.965, mean_absolute_error: 0.2508, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.771, predictive_accuracy: 0.7713, prior_entropy: 0.9948, recall: 0.7713, relative_absolute_error: 0.5051, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4212, root_relative_squared_error: 0.8455, scimark_benchmark: 1772.7971, usercpu_time_millis: 139.341, usercpu_time_millis_testing: 0.47, usercpu_time_millis_training: 138.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7607, f_measure: 0.739, kappa: 0.4753, kb_relative_information_score: 351.6557, mean_absolute_error: 0.4618, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7398, predictive_accuracy: 0.7387, prior_entropy: 0.9948, recall: 0.7387, relative_absolute_error: 0.9301, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4674, root_relative_squared_error: 0.9381, scimark_benchmark: 1801.6498, usercpu_time_millis: 30.333, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 29.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: 1.0533, mean_absolute_error: 0.4963, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1.0001, scimark_benchmark: 1852.0126, usercpu_time_millis: 126.642, usercpu_time_millis_testing: 1.011, usercpu_time_millis_training: 125.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2875, kb_relative_information_score: -40.5676, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.2095, predictive_accuracy: 0.4577, prior_entropy: 0.9948, recall: 0.4577, relative_absolute_error: 1.0072, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0036, scimark_benchmark: 1854.9533, usercpu_time_millis: 108.953, usercpu_time_millis_testing: 0.411, usercpu_time_millis_training: 108.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.763, kappa: 0.5217, kb_relative_information_score: 1166.5238, mean_absolute_error: 0.3604, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7636, predictive_accuracy: 0.7638, prior_entropy: 0.9948, recall: 0.7638, relative_absolute_error: 0.7259, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8238, scimark_benchmark: 1853.9121, usercpu_time_millis: 187.436, usercpu_time_millis_testing: 0.353, usercpu_time_millis_training: 187.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8737, f_measure: 0.7944, kappa: 0.5854, kb_relative_information_score: 1898.7186, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7945, predictive_accuracy: 0.7947, prior_entropy: 0.9948, recall: 0.7947, relative_absolute_error: 0.5128, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.7657, scimark_benchmark: 1769.3645, usercpu_time_millis: 81.488, usercpu_time_millis_testing: 0.467, usercpu_time_millis_training: 81.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2875, kb_relative_information_score: -40.5676, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.2095, predictive_accuracy: 0.4577, prior_entropy: 0.9948, recall: 0.4577, relative_absolute_error: 1.0072, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0036, scimark_benchmark: 1793.194, usercpu_time_millis: 67.052, usercpu_time_millis_testing: 0.391, usercpu_time_millis_training: 66.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.7407, kappa: 0.4768, kb_relative_information_score: 711.9692, mean_absolute_error: 0.4189, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7422, predictive_accuracy: 0.7422, prior_entropy: 0.9948, recall: 0.7422, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.8803, scimark_benchmark: 1854.9533, usercpu_time_millis: 136.773, usercpu_time_millis_testing: 0.411, usercpu_time_millis_training: 136.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2875, kb_relative_information_score: -40.5676, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.2095, predictive_accuracy: 0.4577, prior_entropy: 0.9948, recall: 0.4577, relative_absolute_error: 1.0072, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0036, scimark_benchmark: 1836.3728, usercpu_time_millis: 115.863, usercpu_time_millis_testing: 0.545, usercpu_time_millis_training: 115.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.7606, kappa: 0.5172, kb_relative_information_score: 1539.3035, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7607, predictive_accuracy: 0.7611, prior_entropy: 0.9948, recall: 0.7611, relative_absolute_error: 0.6135, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4111, root_relative_squared_error: 0.8252, scimark_benchmark: 1853.454, usercpu_time_millis: 199.186, usercpu_time_millis_testing: 0.363, usercpu_time_millis_training: 198.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.7556, kappa: 0.5075, kb_relative_information_score: 909.751, mean_absolute_error: 0.3961, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7556, predictive_accuracy: 0.7558, prior_entropy: 0.9948, recall: 0.7558, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4248, root_relative_squared_error: 0.8527, scimark_benchmark: 1889.4835, usercpu_time_millis: 173.586, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 173.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7252, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 662.2948, mean_absolute_error: 0.4266, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8593, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.8986, scimark_benchmark: 1847.2191, usercpu_time_millis: 58.783, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 58.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.7591, kappa: 0.5142, kb_relative_information_score: 1571.0029, mean_absolute_error: 0.2991, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7591, predictive_accuracy: 0.7595, prior_entropy: 0.9948, recall: 0.7595, relative_absolute_error: 0.6024, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.8341, scimark_benchmark: 1838.1813, usercpu_time_millis: 224.027, usercpu_time_millis_testing: 0.361, usercpu_time_millis_training: 223.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7454, f_measure: 0.6447, kappa: 0.2929, kb_relative_information_score: 158.4071, mean_absolute_error: 0.4813, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6657, predictive_accuracy: 0.6582, prior_entropy: 0.9948, recall: 0.6582, relative_absolute_error: 0.9695, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4832, root_relative_squared_error: 0.9699, scimark_benchmark: 1843.2297, usercpu_time_millis: 136.5, usercpu_time_millis_testing: 1.341, usercpu_time_millis_training: 135.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.7574, kappa: 0.5105, kb_relative_information_score: 1034.6503, mean_absolute_error: 0.3781, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7579, predictive_accuracy: 0.7582, prior_entropy: 0.9948, recall: 0.7582, relative_absolute_error: 0.7616, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.8371, scimark_benchmark: 1859.1681, usercpu_time_millis: 193.258, usercpu_time_millis_testing: 0.395, usercpu_time_millis_training: 192.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.7691, kappa: 0.534, kb_relative_information_score: 1264.6497, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7698, predictive_accuracy: 0.7699, prior_entropy: 0.9948, recall: 0.7699, relative_absolute_error: 0.6984, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8162, scimark_benchmark: 1854.4951, usercpu_time_millis: 265.043, usercpu_time_millis_testing: 0.503, usercpu_time_millis_training: 264.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, f_measure: 0.7986, kappa: 0.5939, kb_relative_information_score: 1978.281, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7987, predictive_accuracy: 0.799, prior_entropy: 0.9948, recall: 0.799, relative_absolute_error: 0.4885, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.7674, scimark_benchmark: 1784.3748, usercpu_time_millis: 182.314, usercpu_time_millis_testing: 1.512, usercpu_time_millis_training: 180.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8084, f_measure: 0.7374, kappa: 0.4706, kb_relative_information_score: 1744.0479, mean_absolute_error: 0.2658, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7373, predictive_accuracy: 0.7377, prior_entropy: 0.9948, recall: 0.7377, relative_absolute_error: 0.5355, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.9549, scimark_benchmark: 1833.3135, usercpu_time_millis: 186.195, usercpu_time_millis_testing: 0.803, usercpu_time_millis_training: 185.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, f_measure: 0.7024, kappa: 0.4057, kb_relative_information_score: 336.8893, mean_absolute_error: 0.4628, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7237, predictive_accuracy: 0.7121, prior_entropy: 0.9948, recall: 0.7121, relative_absolute_error: 0.9322, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4683, root_relative_squared_error: 0.94, scimark_benchmark: 1853.9849, usercpu_time_millis: 92.15, usercpu_time_millis_testing: 0.359, usercpu_time_millis_training: 91.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7252, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 686.2165, mean_absolute_error: 0.4237, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8535, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4466, root_relative_squared_error: 0.8964, scimark_benchmark: 1851.3986, usercpu_time_millis: 245.189, usercpu_time_millis_testing: 0.533, usercpu_time_millis_training: 244.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8128, f_measure: 0.7458, kappa: 0.4876, kb_relative_information_score: 1189.1243, mean_absolute_error: 0.3558, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7457, predictive_accuracy: 0.7459, prior_entropy: 0.9948, recall: 0.7459, relative_absolute_error: 0.7168, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.8391, scimark_benchmark: 1754.3226, usercpu_time_millis: 146.247, usercpu_time_millis_testing: 0.422, usercpu_time_millis_training: 145.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.7435, kappa: 0.4824, kb_relative_information_score: 715.1516, mean_absolute_error: 0.4187, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7448, predictive_accuracy: 0.7449, prior_entropy: 0.9948, recall: 0.7449, relative_absolute_error: 0.8435, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.8798, scimark_benchmark: 1853.9121, usercpu_time_millis: 288.31, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 287.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, f_measure: 0.7812, kappa: 0.5588, kb_relative_information_score: 1744.94, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7811, predictive_accuracy: 0.7814, prior_entropy: 0.9948, recall: 0.7814, relative_absolute_error: 0.5554, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.797, scimark_benchmark: 1851.4233, usercpu_time_millis: 140.286, usercpu_time_millis_testing: 0.501, usercpu_time_millis_training: 139.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.7707, kappa: 0.5374, kb_relative_information_score: 1434.6137, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7709, predictive_accuracy: 0.7713, prior_entropy: 0.9948, recall: 0.7713, relative_absolute_error: 0.648, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8028, scimark_benchmark: 1727.7629, usercpu_time_millis: 277.554, usercpu_time_millis_testing: 0.375, usercpu_time_millis_training: 277.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, f_measure: 0.7958, kappa: 0.5884, kb_relative_information_score: 1688.4218, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7958, predictive_accuracy: 0.7961, prior_entropy: 0.9948, recall: 0.7961, relative_absolute_error: 0.5793, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.7657, scimark_benchmark: 1838.217, usercpu_time_millis: 255.005, usercpu_time_millis_testing: 1.377, usercpu_time_millis_training: 253.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.769, f_measure: 0.6738, kappa: 0.3541, kb_relative_information_score: 345.2782, mean_absolute_error: 0.461, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7059, predictive_accuracy: 0.6889, prior_entropy: 0.9948, recall: 0.6889, relative_absolute_error: 0.9287, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.9401, scimark_benchmark: 1843.657, usercpu_time_millis: 12.455, usercpu_time_millis_testing: 0.382, usercpu_time_millis_training: 12.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: -1.6976, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1843.1989, usercpu_time_millis: 45.827, usercpu_time_millis_testing: 0.382, usercpu_time_millis_training: 45.445,

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