OpenML
Supervised Classification on pc4

Supervised Classification on pc4

Task 3902 Supervised Classification pc4 112802 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_7 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8208, kb_relative_information_score: -1232.8553, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.2228, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3335, root_relative_squared_error: 1.0188, scimark_benchmark: 1875.0498, usercpu_time_millis: 21.156, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 21.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.8613, kappa: 0.244, kb_relative_information_score: 87.7752, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8902, predictive_accuracy: 0.8944, prior_entropy: 0.5368, recall: 0.8944, relative_absolute_error: 0.8024, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2821, root_relative_squared_error: 0.8615, scimark_benchmark: 1869.1061, usercpu_time_millis: 2.236, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 2.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.8208, kb_relative_information_score: -1455.1778, mean_absolute_error: 0.2741, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.2763, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3307, root_relative_squared_error: 1.01, scimark_benchmark: 1746.1207, usercpu_time_millis: 17.57, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 17.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.8872, kappa: 0.417, kb_relative_information_score: 296.3108, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8886, predictive_accuracy: 0.9019, prior_entropy: 0.5368, recall: 0.9019, relative_absolute_error: 0.6464, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.7749, scimark_benchmark: 1876.7581, usercpu_time_millis: 7.611, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 7.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.8918, kappa: 0.4357, kb_relative_information_score: 304.2492, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8974, predictive_accuracy: 0.9074, prior_entropy: 0.5368, recall: 0.9074, relative_absolute_error: 0.6855, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2637, root_relative_squared_error: 0.8055, scimark_benchmark: 1917.6578, usercpu_time_millis: 8.601, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 8.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.8431, kappa: 0.1368, kb_relative_information_score: -78.8361, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8677, predictive_accuracy: 0.8848, prior_entropy: 0.5368, recall: 0.8848, relative_absolute_error: 0.87, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.9204, scimark_benchmark: 1872.4216, usercpu_time_millis: 2.159, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 2.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8953, f_measure: 0.8766, kappa: 0.3396, kb_relative_information_score: 188.8383, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8917, predictive_accuracy: 0.9005, prior_entropy: 0.5368, recall: 0.9005, relative_absolute_error: 0.7267, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2699, root_relative_squared_error: 0.8244, scimark_benchmark: 1872.9496, usercpu_time_millis: 4.376, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 4.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.8965, kappa: 0.4667, kb_relative_information_score: 337.6314, mean_absolute_error: 0.1383, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8994, predictive_accuracy: 0.9095, prior_entropy: 0.5368, recall: 0.9095, relative_absolute_error: 0.644, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2616, root_relative_squared_error: 0.7989, scimark_benchmark: 1865.1205, usercpu_time_millis: 7.964, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 7.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8985, f_measure: 0.8878, kappa: 0.4071, kb_relative_information_score: 246.4935, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.899, predictive_accuracy: 0.9067, prior_entropy: 0.5368, recall: 0.9067, relative_absolute_error: 0.7172, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2699, root_relative_squared_error: 0.8245, scimark_benchmark: 1863.9124, usercpu_time_millis: 8.378, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 8.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.8208, kb_relative_information_score: -61.9118, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9549, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.9614, scimark_benchmark: 1882.1677, usercpu_time_millis: 8.099, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 8.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, f_measure: 0.8899, kappa: 0.421, kb_relative_information_score: 247.3587, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8988, predictive_accuracy: 0.9074, prior_entropy: 0.5368, recall: 0.9074, relative_absolute_error: 0.6989, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2714, root_relative_squared_error: 0.8289, scimark_benchmark: 1869.1029, usercpu_time_millis: 41.336, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 41.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.8208, kb_relative_information_score: -366.7568, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0404, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3032, root_relative_squared_error: 0.9262, scimark_benchmark: 1868.4434, usercpu_time_millis: 14.529, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 14.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8674, kappa: 0.2827, kb_relative_information_score: 113.7923, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8886, predictive_accuracy: 0.8964, prior_entropy: 0.5368, recall: 0.8964, relative_absolute_error: 0.7359, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.8113, scimark_benchmark: 1903.9421, usercpu_time_millis: 10.201, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 10.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.8862, kappa: 0.3968, kb_relative_information_score: 229.4459, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8987, predictive_accuracy: 0.906, prior_entropy: 0.5368, recall: 0.906, relative_absolute_error: 0.6916, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.266, root_relative_squared_error: 0.8125, scimark_benchmark: 1970.1556, usercpu_time_millis: 9.922, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 9.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.8777, kappa: 0.3464, kb_relative_information_score: 200.5283, mean_absolute_error: 0.1534, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8927, predictive_accuracy: 0.9012, prior_entropy: 0.5368, recall: 0.9012, relative_absolute_error: 0.7143, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2691, root_relative_squared_error: 0.8218, scimark_benchmark: 1865.3572, usercpu_time_millis: 6.995, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 6.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8208, kb_relative_information_score: -4163.1921, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 2.3283, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.5, root_relative_squared_error: 1.5273, scimark_benchmark: 2008.8395, usercpu_time_millis: 16.716, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 16.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.9006, kappa: 0.4928, kb_relative_information_score: 374.3737, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9019, predictive_accuracy: 0.9115, prior_entropy: 0.5368, recall: 0.9115, relative_absolute_error: 0.6073, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2581, root_relative_squared_error: 0.7884, scimark_benchmark: 1869.1029, usercpu_time_millis: 9.263, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 9.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8935, kappa: 0.4496, kb_relative_information_score: 310.9132, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8966, predictive_accuracy: 0.9074, prior_entropy: 0.5368, recall: 0.9074, relative_absolute_error: 0.6613, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.8008, scimark_benchmark: 1986.405, usercpu_time_millis: 9.723, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 9.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.8671, kappa: 0.2835, kb_relative_information_score: 136.7631, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8831, predictive_accuracy: 0.8951, prior_entropy: 0.5368, recall: 0.8951, relative_absolute_error: 0.8015, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.8671, scimark_benchmark: 1870.6721, usercpu_time_millis: 13.944, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 13.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.8823, kappa: 0.375, kb_relative_information_score: 217.9794, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8943, predictive_accuracy: 0.9033, prior_entropy: 0.5368, recall: 0.9033, relative_absolute_error: 0.7032, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2667, root_relative_squared_error: 0.8148, scimark_benchmark: 1751.6968, usercpu_time_millis: 10.423, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 10.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8794, kappa: 0.3555, kb_relative_information_score: 164.009, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8955, predictive_accuracy: 0.9026, prior_entropy: 0.5368, recall: 0.9026, relative_absolute_error: 0.809, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.277, root_relative_squared_error: 0.8462, scimark_benchmark: 1872.9496, usercpu_time_millis: 3.012, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 3.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.8737, kappa: 0.3236, kb_relative_information_score: 117.3503, mean_absolute_error: 0.1717, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8878, predictive_accuracy: 0.8985, prior_entropy: 0.5368, recall: 0.8985, relative_absolute_error: 0.7996, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.8404, scimark_benchmark: 1868.1196, usercpu_time_millis: 3.484, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 3.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.9056, kappa: 0.5343, kb_relative_information_score: 564.6101, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9036, predictive_accuracy: 0.9115, prior_entropy: 0.5368, recall: 0.9115, relative_absolute_error: 0.5025, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.7592, scimark_benchmark: 1993.8608, usercpu_time_millis: 4.924, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 4.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.8969, kappa: 0.4747, kb_relative_information_score: 327.5661, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8973, predictive_accuracy: 0.9081, prior_entropy: 0.5368, recall: 0.9081, relative_absolute_error: 0.6139, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2598, root_relative_squared_error: 0.7937, scimark_benchmark: 1862.932, usercpu_time_millis: 4.178, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 4.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.8838, kappa: 0.4302, kb_relative_information_score: 316.514, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.88, predictive_accuracy: 0.8903, prior_entropy: 0.5368, recall: 0.8903, relative_absolute_error: 0.6105, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2807, root_relative_squared_error: 0.8575, scimark_benchmark: 1876.7581, usercpu_time_millis: 4.977, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 4.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.8764, kappa: 0.335, kb_relative_information_score: 161.3193, mean_absolute_error: 0.1641, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8978, predictive_accuracy: 0.9019, prior_entropy: 0.5368, recall: 0.9019, relative_absolute_error: 0.7639, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2771, root_relative_squared_error: 0.8463, scimark_benchmark: 1867.5973, usercpu_time_millis: 4.484, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 4.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.9064, kappa: 0.5444, kb_relative_information_score: 514.544, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9042, predictive_accuracy: 0.9108, prior_entropy: 0.5368, recall: 0.9108, relative_absolute_error: 0.5164, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.251, root_relative_squared_error: 0.7667, scimark_benchmark: 1877.7992, usercpu_time_millis: 48.339, usercpu_time_millis_testing: 0.207, usercpu_time_millis_training: 48.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.9002, kappa: 0.4898, kb_relative_information_score: 369.1758, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.902, predictive_accuracy: 0.9115, prior_entropy: 0.5368, recall: 0.9115, relative_absolute_error: 0.6104, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.7897, scimark_benchmark: 1871.9601, usercpu_time_millis: 14.469, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 14.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.8702, kappa: 0.2966, kb_relative_information_score: 122.6968, mean_absolute_error: 0.1666, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8971, predictive_accuracy: 0.8992, prior_entropy: 0.5368, recall: 0.8992, relative_absolute_error: 0.776, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.278, root_relative_squared_error: 0.8492, scimark_benchmark: 1867.1999, usercpu_time_millis: 1.2, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 1.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.8856, kappa: 0.3928, kb_relative_information_score: 222.8951, mean_absolute_error: 0.1534, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8994, predictive_accuracy: 0.906, prior_entropy: 0.5368, recall: 0.906, relative_absolute_error: 0.7145, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.8318, scimark_benchmark: 1944.2937, usercpu_time_millis: 7.254, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 7.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.8899, kappa: 0.421, kb_relative_information_score: 255.3626, mean_absolute_error: 0.1426, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8988, predictive_accuracy: 0.9074, prior_entropy: 0.5368, recall: 0.9074, relative_absolute_error: 0.664, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.7781, scimark_benchmark: 1971.2345, usercpu_time_millis: 19.661, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 19.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.8812, kappa: 0.3685, kb_relative_information_score: 215.417, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8933, predictive_accuracy: 0.9026, prior_entropy: 0.5368, recall: 0.9026, relative_absolute_error: 0.7029, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2674, root_relative_squared_error: 0.8168, scimark_benchmark: 1867.1999, usercpu_time_millis: 9.643, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 9.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6376, f_measure: 0.8208, kb_relative_information_score: -2324.0107, mean_absolute_error: 0.3251, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.5139, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.355, root_relative_squared_error: 1.0845, scimark_benchmark: 1874.7852, usercpu_time_millis: 18.873, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 18.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.8719, kappa: 0.3119, kb_relative_information_score: 164.1962, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8876, predictive_accuracy: 0.8978, prior_entropy: 0.5368, recall: 0.8978, relative_absolute_error: 0.7856, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.281, root_relative_squared_error: 0.8583, scimark_benchmark: 1865.1205, usercpu_time_millis: 2.354, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 2.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8208, kb_relative_information_score: -4163.1921, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 2.3283, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.5, root_relative_squared_error: 1.5273, scimark_benchmark: 1875.7761, usercpu_time_millis: 8.674, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 8.648,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.876, kappa: 0.3653, kb_relative_information_score: 199.1154, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8727, predictive_accuracy: 0.8903, prior_entropy: 0.5368, recall: 0.8903, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.8419, scimark_benchmark: 1871.0479, usercpu_time_millis: 35.579, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 35.47,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8944, f_measure: 0.8953, kappa: 0.4568, kb_relative_information_score: 319.5006, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8999, predictive_accuracy: 0.9095, prior_entropy: 0.5368, recall: 0.9095, relative_absolute_error: 0.6583, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.265, root_relative_squared_error: 0.8094, scimark_benchmark: 1863.3323, usercpu_time_millis: 7.624, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 7.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7035, f_measure: 0.8208, kb_relative_information_score: -3162.7255, mean_absolute_error: 0.3917, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.8239, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4021, root_relative_squared_error: 1.2283, scimark_benchmark: 1866.6776, usercpu_time_millis: 15.449, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 15.378,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.91, kappa: 0.5584, kb_relative_information_score: 595.0487, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9081, predictive_accuracy: 0.915, prior_entropy: 0.5368, recall: 0.915, relative_absolute_error: 0.473, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.7562, scimark_benchmark: 1866.2237, usercpu_time_millis: 36.886, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 36.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.8966, kappa: 0.4716, kb_relative_information_score: 324.7301, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8973, predictive_accuracy: 0.9081, prior_entropy: 0.5368, recall: 0.9081, relative_absolute_error: 0.6135, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2601, root_relative_squared_error: 0.7944, scimark_benchmark: 1742.4969, usercpu_time_millis: 14.612, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 14.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.8636, kappa: 0.2604, kb_relative_information_score: 35.7581, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8852, predictive_accuracy: 0.8944, prior_entropy: 0.5368, recall: 0.8944, relative_absolute_error: 0.8134, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2698, root_relative_squared_error: 0.824, scimark_benchmark: 1876.7581, usercpu_time_millis: 12.604, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 12.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8208, kb_relative_information_score: -4163.1921, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 2.3283, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.5, root_relative_squared_error: 1.5273, scimark_benchmark: 1872.4216, usercpu_time_millis: 17.696, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 17.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.8956, kappa: 0.466, kb_relative_information_score: 324.3505, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8963, predictive_accuracy: 0.9074, prior_entropy: 0.5368, recall: 0.9074, relative_absolute_error: 0.6254, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2602, root_relative_squared_error: 0.7947, scimark_benchmark: 1754.5573, usercpu_time_millis: 11.964, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 11.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.8926, kappa: 0.4345, kb_relative_information_score: 272.8538, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.904, predictive_accuracy: 0.9102, prior_entropy: 0.5368, recall: 0.9102, relative_absolute_error: 0.6889, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2684, root_relative_squared_error: 0.8197, scimark_benchmark: 2034.4642, usercpu_time_millis: 32.959, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 32.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.8927, kappa: 0.4594, kb_relative_information_score: 326.3425, mean_absolute_error: 0.1342, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8907, predictive_accuracy: 0.9026, prior_entropy: 0.5368, recall: 0.9026, relative_absolute_error: 0.6248, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.7918, scimark_benchmark: 1872.4216, usercpu_time_millis: 15.853, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 15.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.8208, kb_relative_information_score: -930.9557, mean_absolute_error: 0.249, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.1594, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0098, scimark_benchmark: 1872.4216, usercpu_time_millis: 19.279, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 19.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8445, f_measure: 0.8208, kb_relative_information_score: -596.5783, mean_absolute_error: 0.2387, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.1115, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.312, root_relative_squared_error: 0.9531, scimark_benchmark: 1834.7386, usercpu_time_millis: 13.227, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 13.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.9042, kappa: 0.5179, kb_relative_information_score: 378.9392, mean_absolute_error: 0.1255, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9038, predictive_accuracy: 0.9129, prior_entropy: 0.5368, recall: 0.9129, relative_absolute_error: 0.5842, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2541, root_relative_squared_error: 0.776, scimark_benchmark: 1868.1832, usercpu_time_millis: 5.78, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 5.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8983, kappa: 0.4787, kb_relative_information_score: 360.3284, mean_absolute_error: 0.1329, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9002, predictive_accuracy: 0.9102, prior_entropy: 0.5368, recall: 0.9102, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.7917, scimark_benchmark: 1866.1582, usercpu_time_millis: 17.84, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 17.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9001, f_measure: 0.8948, kappa: 0.4468, kb_relative_information_score: 284.9032, mean_absolute_error: 0.1459, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9058, predictive_accuracy: 0.9115, prior_entropy: 0.5368, recall: 0.9115, relative_absolute_error: 0.6792, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2669, root_relative_squared_error: 0.8152, scimark_benchmark: 1869.7524, usercpu_time_millis: 40.077, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 40.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5521, f_measure: 0.8208, kb_relative_information_score: -4161.7994, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 2.3274, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.5267, scimark_benchmark: 1876.3041, usercpu_time_millis: 0.706, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8882, kappa: 0.4228, kb_relative_information_score: 306.1026, mean_absolute_error: 0.139, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8896, predictive_accuracy: 0.9026, prior_entropy: 0.5368, recall: 0.9026, relative_absolute_error: 0.647, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2513, root_relative_squared_error: 0.7677, scimark_benchmark: 1877.7992, usercpu_time_millis: 30.411, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 30.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.8881, kappa: 0.4241, kb_relative_information_score: 316.8786, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8886, predictive_accuracy: 0.9019, prior_entropy: 0.5368, recall: 0.9019, relative_absolute_error: 0.6348, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.25, root_relative_squared_error: 0.7637, scimark_benchmark: 1874.6729, usercpu_time_millis: 23.952, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 23.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.8208, kb_relative_information_score: -103.7548, mean_absolute_error: 0.1864, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.8682, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.289, root_relative_squared_error: 0.8828, scimark_benchmark: 1858.1823, usercpu_time_millis: 22.323, usercpu_time_millis_testing: 0.192, usercpu_time_millis_training: 22.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.651, f_measure: 0.8208, kb_relative_information_score: -3696.1909, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 2.0716, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4472, root_relative_squared_error: 1.3661, scimark_benchmark: 1970.1255, usercpu_time_millis: 2.363, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 2.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.8208, kb_relative_information_score: -725.185, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.1314, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3112, root_relative_squared_error: 0.9505, scimark_benchmark: 1874.5188, usercpu_time_millis: 17.429, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 17.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8621, f_measure: 0.8669, kappa: 0.2805, kb_relative_information_score: 104.5708, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8862, predictive_accuracy: 0.8957, prior_entropy: 0.5368, recall: 0.8957, relative_absolute_error: 0.782, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2852, root_relative_squared_error: 0.8712, scimark_benchmark: 1874.977, usercpu_time_millis: 63.544, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 63.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.9055, kappa: 0.5257, kb_relative_information_score: 397.1608, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9048, predictive_accuracy: 0.9136, prior_entropy: 0.5368, recall: 0.9136, relative_absolute_error: 0.5814, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.7776, scimark_benchmark: 1864.3739, usercpu_time_millis: 18.155, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 18.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.8567, kappa: 0.2203, kb_relative_information_score: 133.1673, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8763, predictive_accuracy: 0.8903, prior_entropy: 0.5368, recall: 0.8903, relative_absolute_error: 0.738, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.8333, scimark_benchmark: 1874.4066, usercpu_time_millis: 8.86, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 8.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.8783, kappa: 0.3509, kb_relative_information_score: 161.8288, mean_absolute_error: 0.1605, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.892, predictive_accuracy: 0.9012, prior_entropy: 0.5368, recall: 0.9012, relative_absolute_error: 0.7475, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2792, root_relative_squared_error: 0.8529, scimark_benchmark: 1752.0468, usercpu_time_millis: 33.493, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 33.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8872, kappa: 0.4062, kb_relative_information_score: 266.5315, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8956, predictive_accuracy: 0.9054, prior_entropy: 0.5368, recall: 0.9054, relative_absolute_error: 0.6647, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2625, root_relative_squared_error: 0.8017, scimark_benchmark: 1878.2574, usercpu_time_millis: 11.63, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 11.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.8208, kb_relative_information_score: -2298.4769, mean_absolute_error: 0.3234, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.5061, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3578, root_relative_squared_error: 1.0929, scimark_benchmark: 1970.7134, usercpu_time_millis: 7.031, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 7.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, f_measure: 0.8208, kb_relative_information_score: -2639.3672, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.6205, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3721, root_relative_squared_error: 1.1365, scimark_benchmark: 1983.2283, usercpu_time_millis: 12.804, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 12.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, f_measure: 0.8208, kb_relative_information_score: -3271.9923, mean_absolute_error: 0.4018, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.871, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4107, root_relative_squared_error: 1.2545, scimark_benchmark: 1911.773, usercpu_time_millis: 5.948, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 5.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.8208, kb_relative_information_score: -112.0312, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.8782, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2979, root_relative_squared_error: 0.9098, scimark_benchmark: 1753.7072, usercpu_time_millis: 9.061, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 9.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8901, f_measure: 0.8899, kappa: 0.4197, kb_relative_information_score: 256.7121, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9008, predictive_accuracy: 0.9081, prior_entropy: 0.5368, recall: 0.9081, relative_absolute_error: 0.7003, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2708, root_relative_squared_error: 0.827, scimark_benchmark: 1869.1727, usercpu_time_millis: 14.377, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 14.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.9028, kappa: 0.5135, kb_relative_information_score: 391.9739, mean_absolute_error: 0.1268, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9015, predictive_accuracy: 0.9108, prior_entropy: 0.5368, recall: 0.9108, relative_absolute_error: 0.5903, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.249, root_relative_squared_error: 0.7605, scimark_benchmark: 1877.289, usercpu_time_millis: 22.737, usercpu_time_millis_testing: 0.238, usercpu_time_millis_training: 22.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.8208, kb_relative_information_score: -126.915, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9111, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2899, root_relative_squared_error: 0.8854, scimark_benchmark: 1872.4216, usercpu_time_millis: 1.194, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 1.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.8677, kappa: 0.2818, kb_relative_information_score: 93.5353, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8953, predictive_accuracy: 0.8978, prior_entropy: 0.5368, recall: 0.8978, relative_absolute_error: 0.8008, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2801, root_relative_squared_error: 0.8557, scimark_benchmark: 1979.47, usercpu_time_millis: 5.338, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 5.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.8789, kappa: 0.3553, kb_relative_information_score: 189.2188, mean_absolute_error: 0.1596, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8913, predictive_accuracy: 0.9012, prior_entropy: 0.5368, recall: 0.9012, relative_absolute_error: 0.7431, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2775, root_relative_squared_error: 0.8476, scimark_benchmark: 1877.289, usercpu_time_millis: 15.375, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 15.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.8789, kappa: 0.3553, kb_relative_information_score: 164.0926, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8913, predictive_accuracy: 0.9012, prior_entropy: 0.5368, recall: 0.9012, relative_absolute_error: 0.7503, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2795, root_relative_squared_error: 0.8538, scimark_benchmark: 1754.1079, usercpu_time_millis: 49.192, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 49.178,

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