Task
Supervised Classification on spambase

Supervised Classification on spambase

Task 43 Supervised Classification spambase 99484 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_70 study_98 study_99 under100k under1m
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99484 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8548, f_measure: 0.8639, kappa: 0.7142, kb_relative_information_score: 0.7103, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8638, predictive_accuracy: 0.8644, prior_entropy: 0.9674, recall: 0.8644, relative_absolute_error: 0.284, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.7537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3031, f_measure: 0.3344, kappa: -0.3939, kb_relative_information_score: -0.4215, mean_absolute_error: 0.6655, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3344, predictive_accuracy: 0.3345, prior_entropy: 0.9674, recall: 0.3345, relative_absolute_error: 1.3936, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.8158, root_relative_squared_error: 1.6695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.7417, kappa: 0.457, kb_relative_information_score: 0.4508, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7411, predictive_accuracy: 0.7429, prior_entropy: 0.9674, recall: 0.7429, relative_absolute_error: 0.5384, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5071, root_relative_squared_error: 1.0377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3442, f_measure: 0.3737, kappa: -0.3116, kb_relative_information_score: -0.3375, mean_absolute_error: 0.6262, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3737, predictive_accuracy: 0.3738, prior_entropy: 0.9674, recall: 0.3738, relative_absolute_error: 1.3112, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.7913, root_relative_squared_error: 1.6194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3033, f_measure: 0.3346, kappa: -0.3935, kb_relative_information_score: -0.421, mean_absolute_error: 0.6653, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3345, predictive_accuracy: 0.3347, prior_entropy: 0.9674, recall: 0.3347, relative_absolute_error: 1.3931, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.8157, root_relative_squared_error: 1.6692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, f_measure: 0.8849, kappa: 0.7597, kb_relative_information_score: 0.7535, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8855, predictive_accuracy: 0.8846, prior_entropy: 0.9674, recall: 0.8846, relative_absolute_error: 0.2417, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3972, f_measure: 0.4243, kappa: -0.2055, kb_relative_information_score: -0.2298, mean_absolute_error: 0.5757, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.4243, predictive_accuracy: 0.4243, prior_entropy: 0.9674, recall: 0.4243, relative_absolute_error: 1.2056, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.7588, root_relative_squared_error: 1.5528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7713, f_measure: 0.7745, kappa: 0.5329, kb_relative_information_score: 0.5149, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7788, predictive_accuracy: 0.7729, prior_entropy: 0.9674, recall: 0.7729, relative_absolute_error: 0.4756, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4766, root_relative_squared_error: 0.9753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.927, kappa: 0.847, kb_relative_information_score: 0.8445, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.927, predictive_accuracy: 0.9272, prior_entropy: 0.9674, recall: 0.9272, relative_absolute_error: 0.1525, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2698, root_relative_squared_error: 0.5522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3033, f_measure: 0.3346, kappa: -0.3935, kb_relative_information_score: -0.421, mean_absolute_error: 0.6653, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3345, predictive_accuracy: 0.3347, prior_entropy: 0.9674, recall: 0.3347, relative_absolute_error: 1.3931, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.8157, root_relative_squared_error: 1.6692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3972, f_measure: 0.4243, kappa: -0.2055, kb_relative_information_score: -0.2298, mean_absolute_error: 0.5757, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.4243, predictive_accuracy: 0.4243, prior_entropy: 0.9674, recall: 0.4243, relative_absolute_error: 1.2056, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.7588, root_relative_squared_error: 1.5528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6363, f_measure: 0.6591, kappa: 0.3122, kb_relative_information_score: 0.3872, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8024, predictive_accuracy: 0.7131, prior_entropy: 0.9674, recall: 0.7131, relative_absolute_error: 0.6008, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5356, root_relative_squared_error: 1.0961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5357, f_measure: 0.5565, kappa: 0.0714, kb_relative_information_score: 0.0525, mean_absolute_error: 0.4436, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.5565, predictive_accuracy: 0.5564, prior_entropy: 0.9674, recall: 0.5564, relative_absolute_error: 0.9289, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.666, root_relative_squared_error: 1.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2971, f_measure: 0.3288, kappa: -0.4062, kb_relative_information_score: -0.4331, mean_absolute_error: 0.6709, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3285, predictive_accuracy: 0.3291, prior_entropy: 0.9674, recall: 0.3291, relative_absolute_error: 1.4049, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.8191, root_relative_squared_error: 1.6763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3043, f_measure: 0.3355, kappa: -0.3915, kb_relative_information_score: -0.4192, mean_absolute_error: 0.6644, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3355, predictive_accuracy: 0.3356, prior_entropy: 0.9674, recall: 0.3356, relative_absolute_error: 1.3913, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.8151, root_relative_squared_error: 1.6681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3033, f_measure: 0.3346, kappa: -0.3935, kb_relative_information_score: -0.421, mean_absolute_error: 0.6653, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3345, predictive_accuracy: 0.3347, prior_entropy: 0.9674, recall: 0.3347, relative_absolute_error: 1.3931, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.8157, root_relative_squared_error: 1.6692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1583, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6277, root_relative_squared_error: 1.2846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3014, f_measure: 0.3328, kappa: -0.3975, kb_relative_information_score: -0.4247, mean_absolute_error: 0.667, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3326, predictive_accuracy: 0.333, prior_entropy: 0.9674, recall: 0.333, relative_absolute_error: 1.3968, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.8167, root_relative_squared_error: 1.6714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.925, kappa: 0.8428, kb_relative_information_score: 0.8398, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9249, predictive_accuracy: 0.925, prior_entropy: 0.9674, recall: 0.925, relative_absolute_error: 0.157, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.5604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1583, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6277, root_relative_squared_error: 1.2846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.9281, kappa: 0.8493, kb_relative_information_score: 0.8468, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9281, predictive_accuracy: 0.9283, prior_entropy: 0.9674, recall: 0.9283, relative_absolute_error: 0.1502, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.5481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, f_measure: 0.8849, kappa: 0.7597, kb_relative_information_score: 0.7535, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8855, predictive_accuracy: 0.8846, prior_entropy: 0.9674, recall: 0.8846, relative_absolute_error: 0.2417, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, f_measure: 0.8849, kappa: 0.7597, kb_relative_information_score: 0.7535, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8855, predictive_accuracy: 0.8846, prior_entropy: 0.9674, recall: 0.8846, relative_absolute_error: 0.2417, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3014, f_measure: 0.3328, kappa: -0.3975, kb_relative_information_score: -0.4247, mean_absolute_error: 0.667, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3326, predictive_accuracy: 0.333, prior_entropy: 0.9674, recall: 0.333, relative_absolute_error: 1.3968, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.8167, root_relative_squared_error: 1.6714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3972, f_measure: 0.4243, kappa: -0.2055, kb_relative_information_score: -0.2298, mean_absolute_error: 0.5757, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.4243, predictive_accuracy: 0.4243, prior_entropy: 0.9674, recall: 0.4243, relative_absolute_error: 1.2056, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.7588, root_relative_squared_error: 1.5528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.9152, kappa: 0.822, kb_relative_information_score: 0.8194, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9153, predictive_accuracy: 0.9155, prior_entropy: 0.9674, recall: 0.9155, relative_absolute_error: 0.177, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, f_measure: 0.8893, kappa: 0.7667, kb_relative_information_score: 0.7656, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8904, predictive_accuracy: 0.8902, prior_entropy: 0.9674, recall: 0.8902, relative_absolute_error: 0.2298, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.8769, kappa: 0.7413, kb_relative_information_score: 0.7382, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8769, predictive_accuracy: 0.8774, prior_entropy: 0.9674, recall: 0.8774, relative_absolute_error: 0.2567, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3501, root_relative_squared_error: 0.7165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5108, f_measure: 0.4763, kappa: 0.026, kb_relative_information_score: 0.1764, mean_absolute_error: 0.3856, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7644, predictive_accuracy: 0.6144, prior_entropy: 0.9674, recall: 0.6144, relative_absolute_error: 0.8074, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6209, root_relative_squared_error: 1.2707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.694, f_measure: 0.7257, kappa: 0.433, kb_relative_information_score: 0.4819, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8183, predictive_accuracy: 0.7574, prior_entropy: 0.9674, recall: 0.7574, relative_absolute_error: 0.5079, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4925, root_relative_squared_error: 1.0079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6595, f_measure: 0.6868, kappa: 0.3619, kb_relative_information_score: 0.4262, mean_absolute_error: 0.2686, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8114, predictive_accuracy: 0.7314, prior_entropy: 0.9674, recall: 0.7314, relative_absolute_error: 0.5625, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5183, root_relative_squared_error: 1.0607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.9152, kappa: 0.822, kb_relative_information_score: 0.8194, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9153, predictive_accuracy: 0.9155, prior_entropy: 0.9674, recall: 0.9155, relative_absolute_error: 0.177, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3413, f_measure: 0.3709, kappa: -0.3174, kb_relative_information_score: -0.3435, mean_absolute_error: 0.629, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3709, predictive_accuracy: 0.371, prior_entropy: 0.9674, recall: 0.371, relative_absolute_error: 1.3171, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.7931, root_relative_squared_error: 1.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.9152, kappa: 0.822, kb_relative_information_score: 0.8194, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9153, predictive_accuracy: 0.9155, prior_entropy: 0.9674, recall: 0.9155, relative_absolute_error: 0.177, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3413, f_measure: 0.3709, kappa: -0.3174, kb_relative_information_score: -0.3435, mean_absolute_error: 0.629, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3709, predictive_accuracy: 0.371, prior_entropy: 0.9674, recall: 0.371, relative_absolute_error: 1.3171, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.7931, root_relative_squared_error: 1.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6595, f_measure: 0.6868, kappa: 0.3619, kb_relative_information_score: 0.4262, mean_absolute_error: 0.2686, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8114, predictive_accuracy: 0.7314, prior_entropy: 0.9674, recall: 0.7314, relative_absolute_error: 0.5625, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5183, root_relative_squared_error: 1.0607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3674, f_measure: 0.3811, kappa: -0.2918, kb_relative_information_score: -0.1973, mean_absolute_error: 0.5605, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3427, predictive_accuracy: 0.4395, prior_entropy: 0.9674, recall: 0.4395, relative_absolute_error: 1.1737, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.7487, root_relative_squared_error: 1.5322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6595, f_measure: 0.6868, kappa: 0.3619, kb_relative_information_score: 0.4262, mean_absolute_error: 0.2686, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8114, predictive_accuracy: 0.7314, prior_entropy: 0.9674, recall: 0.7314, relative_absolute_error: 0.5625, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5183, root_relative_squared_error: 1.0607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5108, f_measure: 0.4763, kappa: 0.026, kb_relative_information_score: 0.1764, mean_absolute_error: 0.3856, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7644, predictive_accuracy: 0.6144, prior_entropy: 0.9674, recall: 0.6144, relative_absolute_error: 0.8074, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6209, root_relative_squared_error: 1.2707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, f_measure: 0.8158, kappa: 0.6115, kb_relative_information_score: 0.611, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8167, predictive_accuracy: 0.8179, prior_entropy: 0.9674, recall: 0.8179, relative_absolute_error: 0.3814, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.8734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3056, f_measure: 0.3372, kappa: -0.3902, kb_relative_information_score: -0.4131, mean_absolute_error: 0.6616, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.336, predictive_accuracy: 0.3384, prior_entropy: 0.9674, recall: 0.3384, relative_absolute_error: 1.3854, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.8134, root_relative_squared_error: 1.6646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8496, f_measure: 0.8476, kappa: 0.6848, kb_relative_information_score: 0.6718, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8526, predictive_accuracy: 0.8463, prior_entropy: 0.9674, recall: 0.8463, relative_absolute_error: 0.3218, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.392, root_relative_squared_error: 0.8022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3036, f_measure: 0.3349, kappa: -0.393, kb_relative_information_score: -0.4206, mean_absolute_error: 0.6651, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3348, predictive_accuracy: 0.3349, prior_entropy: 0.9674, recall: 0.3349, relative_absolute_error: 1.3927, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.8155, root_relative_squared_error: 1.6689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3674, f_measure: 0.3811, kappa: -0.2918, kb_relative_information_score: -0.1973, mean_absolute_error: 0.5605, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3427, predictive_accuracy: 0.4395, prior_entropy: 0.9674, recall: 0.4395, relative_absolute_error: 1.1737, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.7487, root_relative_squared_error: 1.5322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3674, f_measure: 0.3811, kappa: -0.2918, kb_relative_information_score: -0.1973, mean_absolute_error: 0.5605, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3427, predictive_accuracy: 0.4395, prior_entropy: 0.9674, recall: 0.4395, relative_absolute_error: 1.1737, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.7487, root_relative_squared_error: 1.5322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.445, f_measure: 0.47, kappa: -0.11, kb_relative_information_score: -0.1318, mean_absolute_error: 0.5299, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.4699, predictive_accuracy: 0.4701, prior_entropy: 0.9674, recall: 0.4701, relative_absolute_error: 1.1096, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.7279, root_relative_squared_error: 1.4897,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4159, f_measure: 0.4421, kappa: -0.1682, kb_relative_information_score: -0.1917, mean_absolute_error: 0.5579, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.4421, predictive_accuracy: 0.4421, prior_entropy: 0.9674, recall: 0.4421, relative_absolute_error: 1.1683, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.7469, root_relative_squared_error: 1.5286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5137, f_measure: 0.5356, kappa: 0.0275, kb_relative_information_score: 0.0079, mean_absolute_error: 0.4645, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.5356, predictive_accuracy: 0.5355, prior_entropy: 0.9674, recall: 0.5355, relative_absolute_error: 0.9726, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6815, root_relative_squared_error: 1.3947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5137, f_measure: 0.5356, kappa: 0.0275, kb_relative_information_score: 0.0079, mean_absolute_error: 0.4645, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.5356, predictive_accuracy: 0.5355, prior_entropy: 0.9674, recall: 0.5355, relative_absolute_error: 0.9726, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6815, root_relative_squared_error: 1.3947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4159, f_measure: 0.4421, kappa: -0.1682, kb_relative_information_score: -0.1917, mean_absolute_error: 0.5579, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.4421, predictive_accuracy: 0.4421, prior_entropy: 0.9674, recall: 0.4421, relative_absolute_error: 1.1683, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.7469, root_relative_squared_error: 1.5286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3029, f_measure: 0.3342, kappa: -0.3942, kb_relative_information_score: -0.422, mean_absolute_error: 0.6657, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3342, predictive_accuracy: 0.3343, prior_entropy: 0.9674, recall: 0.3343, relative_absolute_error: 1.394, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.8159, root_relative_squared_error: 1.6698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, f_measure: 0.7401, kappa: 0.4495, kb_relative_information_score: 0.4615, mean_absolute_error: 0.2521, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7462, predictive_accuracy: 0.7479, prior_entropy: 0.9674, recall: 0.7479, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5021, root_relative_squared_error: 1.0276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3655, f_measure: 0.3802, kappa: -0.2954, kb_relative_information_score: -0.2033, mean_absolute_error: 0.5634, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.343, predictive_accuracy: 0.4366, prior_entropy: 0.9674, recall: 0.4366, relative_absolute_error: 1.1797, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.7506, root_relative_squared_error: 1.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4119, f_measure: 0.4082, kappa: -0.2007, kb_relative_information_score: -0.0752, mean_absolute_error: 0.5034, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3541, predictive_accuracy: 0.4966, prior_entropy: 0.9674, recall: 0.4966, relative_absolute_error: 1.0541, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.7095, root_relative_squared_error: 1.4519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, f_measure: 0.7186, kappa: 0.4042, kb_relative_information_score: 0.4225, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.728, predictive_accuracy: 0.7296, prior_entropy: 0.9674, recall: 0.7296, relative_absolute_error: 0.5662, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.52, root_relative_squared_error: 1.0641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3178, f_measure: 0.3486, kappa: -0.3795, kb_relative_information_score: -0.3509, mean_absolute_error: 0.6325, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.334, predictive_accuracy: 0.3675, prior_entropy: 0.9674, recall: 0.3675, relative_absolute_error: 1.3244, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.7953, root_relative_squared_error: 1.6275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3009, f_measure: 0.3323, kappa: -0.3981, kb_relative_information_score: -0.4261, mean_absolute_error: 0.6677, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3323, predictive_accuracy: 0.3323, prior_entropy: 0.9674, recall: 0.3323, relative_absolute_error: 1.3981, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.8171, root_relative_squared_error: 1.6722,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs