Task
Supervised Classification on spambase

Supervised Classification on spambase

Task 43 Supervised Classification spambase 99454 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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99454 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6832, f_measure: 0.7141, kappa: 0.4078, kb_relative_information_score: 2104.0203, mean_absolute_error: 0.2541, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7947, predictive_accuracy: 0.7459, prior_entropy: 0.9674, recall: 0.7459, relative_absolute_error: 0.532, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5041, root_relative_squared_error: 1.0315, scimark_benchmark: 1994.6263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.9295, kappa: 0.8521, kb_relative_information_score: 3656.0991, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9295, predictive_accuracy: 0.9296, prior_entropy: 0.9674, recall: 0.9296, relative_absolute_error: 0.2199, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.5108, scimark_benchmark: 1993.4984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7665, f_measure: 0.7818, kappa: 0.5404, kb_relative_information_score: 2473.5276, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7816, predictive_accuracy: 0.7835, prior_entropy: 0.9674, recall: 0.7835, relative_absolute_error: 0.4533, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4653, root_relative_squared_error: 0.9522, scimark_benchmark: 1917.2004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.9194, kappa: 0.8307, kb_relative_information_score: 3395.434, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9194, predictive_accuracy: 0.9196, prior_entropy: 0.9674, recall: 0.9196, relative_absolute_error: 0.2807, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2553, root_relative_squared_error: 0.5224, scimark_benchmark: 2018.3393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7762, f_measure: 0.7754, kappa: 0.5248, kb_relative_information_score: 1591.2228, mean_absolute_error: 0.3297, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7784, predictive_accuracy: 0.7798, prior_entropy: 0.9674, recall: 0.7798, relative_absolute_error: 0.6904, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8424, scimark_benchmark: 2011.4628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.4573, kb_relative_information_score: -0.0763, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1981.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.9159, kappa: 0.8243, kb_relative_information_score: 3772.1426, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9163, predictive_accuracy: 0.9157, prior_entropy: 0.9674, recall: 0.9157, relative_absolute_error: 0.1766, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.5939, scimark_benchmark: 2019.6963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9414, kappa: 0.8772, kb_relative_information_score: 3630.1432, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9414, predictive_accuracy: 0.9415, prior_entropy: 0.9674, recall: 0.9415, relative_absolute_error: 0.231, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.4466, scimark_benchmark: 2005.3109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.9229, kappa: 0.8383, kb_relative_information_score: 3580.0965, mean_absolute_error: 0.1143, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9229, predictive_accuracy: 0.9231, prior_entropy: 0.9674, recall: 0.9231, relative_absolute_error: 0.2393, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.5419, scimark_benchmark: 947.8144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9276, kappa: 0.8479, kb_relative_information_score: 3525.5318, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9278, predictive_accuracy: 0.9278, prior_entropy: 0.9674, recall: 0.9278, relative_absolute_error: 0.2498, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.242, root_relative_squared_error: 0.4953, scimark_benchmark: 943.7413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.91, kappa: 0.8104, kb_relative_information_score: 3653.9171, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.911, predictive_accuracy: 0.9107, prior_entropy: 0.9674, recall: 0.9107, relative_absolute_error: 0.2062, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2688, root_relative_squared_error: 0.5501, scimark_benchmark: 946.1743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.91, kappa: 0.8104, kb_relative_information_score: 3653.9171, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.911, predictive_accuracy: 0.9107, prior_entropy: 0.9674, recall: 0.9107, relative_absolute_error: 0.2062, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2688, root_relative_squared_error: 0.5501, scimark_benchmark: 930.1717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.764, f_measure: 0.7785, kappa: 0.5339, kb_relative_information_score: 2437.2176, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7781, predictive_accuracy: 0.7798, prior_entropy: 0.9674, recall: 0.7798, relative_absolute_error: 0.461, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4692, root_relative_squared_error: 0.9603, scimark_benchmark: 910.9342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9512, kappa: 0.8976, kb_relative_information_score: 3715.5975, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9513, predictive_accuracy: 0.9513, prior_entropy: 0.9674, recall: 0.9513, relative_absolute_error: 0.213, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4116, scimark_benchmark: 946.4433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.9182, kappa: 0.8284, kb_relative_information_score: 3569.4336, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9181, predictive_accuracy: 0.9183, prior_entropy: 0.9674, recall: 0.9183, relative_absolute_error: 0.2284, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.255, root_relative_squared_error: 0.5219, scimark_benchmark: 913.3586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9306, kappa: 0.8543, kb_relative_information_score: 3640.7959, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9308, predictive_accuracy: 0.9309, prior_entropy: 0.9674, recall: 0.9309, relative_absolute_error: 0.2225, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.23, root_relative_squared_error: 0.4706, scimark_benchmark: 944.8541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9407, kappa: 0.8756, kb_relative_information_score: 3666.296, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9408, predictive_accuracy: 0.9409, prior_entropy: 0.9674, recall: 0.9409, relative_absolute_error: 0.22, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.4403, scimark_benchmark: 949.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7665, f_measure: 0.7815, kappa: 0.5399, kb_relative_information_score: 2469.2558, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7813, predictive_accuracy: 0.7831, prior_entropy: 0.9674, recall: 0.7831, relative_absolute_error: 0.4542, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.9531, scimark_benchmark: 944.8126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.8927, kappa: 0.7741, kb_relative_information_score: 3104.4099, mean_absolute_error: 0.1641, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8935, predictive_accuracy: 0.8935, prior_entropy: 0.9674, recall: 0.8935, relative_absolute_error: 0.3436, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2818, root_relative_squared_error: 0.5767, scimark_benchmark: 947.4774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.7965, kappa: 0.6007, kb_relative_information_score: 2587.4753, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8441, predictive_accuracy: 0.795, prior_entropy: 0.9674, recall: 0.795, relative_absolute_error: 0.429, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4508, root_relative_squared_error: 0.9225, scimark_benchmark: 944.1866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9434, kappa: 0.8812, kb_relative_information_score: 3665.2116, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9434, predictive_accuracy: 0.9435, prior_entropy: 0.9674, recall: 0.9435, relative_absolute_error: 0.2248, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.4304, scimark_benchmark: 911.0994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.8923, kappa: 0.7724, kb_relative_information_score: 3531.2107, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8973, predictive_accuracy: 0.8942, prior_entropy: 0.9674, recall: 0.8942, relative_absolute_error: 0.2277, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2822, root_relative_squared_error: 0.5776, scimark_benchmark: 947.0051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8551, f_measure: 0.8021, kappa: 0.5912, kb_relative_information_score: 2673.3801, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8077, predictive_accuracy: 0.8005, prior_entropy: 0.9674, recall: 0.8005, relative_absolute_error: 0.4108, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8423, scimark_benchmark: 947.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.9372, kappa: 0.8685, kb_relative_information_score: 3881.6038, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9372, predictive_accuracy: 0.9372, prior_entropy: 0.9674, recall: 0.9372, relative_absolute_error: 0.1602, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.4833, scimark_benchmark: 908.1141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.9203, kappa: 0.8324, kb_relative_information_score: 3512.7969, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9207, predictive_accuracy: 0.9207, prior_entropy: 0.9674, recall: 0.9207, relative_absolute_error: 0.2572, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2632, root_relative_squared_error: 0.5385, scimark_benchmark: 908.3175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9326, kappa: 0.8584, kb_relative_information_score: 3646.7118, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9328, predictive_accuracy: 0.9328, prior_entropy: 0.9674, recall: 0.9328, relative_absolute_error: 0.2223, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.464, scimark_benchmark: 947.5458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.8934, kappa: 0.7757, kb_relative_information_score: 3147.1338, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8941, predictive_accuracy: 0.8942, prior_entropy: 0.9674, recall: 0.8942, relative_absolute_error: 0.3324, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2802, root_relative_squared_error: 0.5734, scimark_benchmark: 946.9843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9462, kappa: 0.8873, kb_relative_information_score: 3852.7173, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9462, predictive_accuracy: 0.9463, prior_entropy: 0.9674, recall: 0.9463, relative_absolute_error: 0.1739, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.4204, scimark_benchmark: 946.8063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.9332, kappa: 0.8596, kb_relative_information_score: 3947.2848, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9336, predictive_accuracy: 0.9335, prior_entropy: 0.9674, recall: 0.9335, relative_absolute_error: 0.1393, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2579, root_relative_squared_error: 0.5278, scimark_benchmark: 941.4382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, f_measure: 0.9341, kappa: 0.8616, kb_relative_information_score: 3955.8283, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9344, predictive_accuracy: 0.9344, prior_entropy: 0.9674, recall: 0.9344, relative_absolute_error: 0.1374, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2562, root_relative_squared_error: 0.5243, scimark_benchmark: 938.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9414, kappa: 0.877, kb_relative_information_score: 3777.1554, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9415, predictive_accuracy: 0.9415, prior_entropy: 0.9674, recall: 0.9415, relative_absolute_error: 0.1918, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.4366, scimark_benchmark: 946.3962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.811, f_measure: 0.8403, kappa: 0.6622, kb_relative_information_score: 3112.1557, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8713, predictive_accuracy: 0.8485, prior_entropy: 0.9674, recall: 0.8485, relative_absolute_error: 0.3172, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.7965, scimark_benchmark: 910.7739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.925, kappa: 0.8428, kb_relative_information_score: 3766.4481, mean_absolute_error: 0.0889, 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: 0.1861, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.5359, scimark_benchmark: 910.1052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9225, f_measure: 0.9283, kappa: 0.8495, kb_relative_information_score: 3898.1596, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9284, predictive_accuracy: 0.9285, prior_entropy: 0.9674, recall: 0.9285, relative_absolute_error: 0.1497, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2674, root_relative_squared_error: 0.5472, scimark_benchmark: 922.0148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9432, kappa: 0.8807, kb_relative_information_score: 3658.7962, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9432, predictive_accuracy: 0.9433, prior_entropy: 0.9674, recall: 0.9433, relative_absolute_error: 0.2261, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.4331, scimark_benchmark: 948.1575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.925, kappa: 0.8428, kb_relative_information_score: 3760.5317, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.925, predictive_accuracy: 0.925, prior_entropy: 0.9674, recall: 0.925, relative_absolute_error: 0.1879, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.5338, scimark_benchmark: 947.6038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9365, kappa: 0.867, kb_relative_information_score: 3882.5843, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9365, predictive_accuracy: 0.9365, prior_entropy: 0.9674, recall: 0.9365, relative_absolute_error: 0.1594, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.4735, scimark_benchmark: 947.3483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.911, kappa: 0.8131, kb_relative_information_score: 3369.3899, mean_absolute_error: 0.1357, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9111, predictive_accuracy: 0.9113, prior_entropy: 0.9674, recall: 0.9113, relative_absolute_error: 0.2841, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2614, root_relative_squared_error: 0.535, scimark_benchmark: 947.5549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9276, kappa: 0.8479, kb_relative_information_score: 3525.5318, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9278, predictive_accuracy: 0.9278, prior_entropy: 0.9674, recall: 0.9278, relative_absolute_error: 0.2498, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.242, root_relative_squared_error: 0.4953, scimark_benchmark: 944.6157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8434, f_measure: 0.7909, kappa: 0.5614, kb_relative_information_score: 2568.4915, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7906, predictive_accuracy: 0.7914, prior_entropy: 0.9674, recall: 0.7914, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.8696, scimark_benchmark: 948.245,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.9236, kappa: 0.8393, kb_relative_information_score: 3853.3061, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9239, predictive_accuracy: 0.9239, prior_entropy: 0.9674, recall: 0.9239, relative_absolute_error: 0.1593, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2758, root_relative_squared_error: 0.5644, scimark_benchmark: 946.1346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9445, kappa: 0.8835, kb_relative_information_score: 3662.1623, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9445, predictive_accuracy: 0.9446, prior_entropy: 0.9674, recall: 0.9446, relative_absolute_error: 0.2253, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.4322, scimark_benchmark: 945.8994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.9089, kappa: 0.8083, kb_relative_information_score: 3362.2911, mean_absolute_error: 0.139, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9093, predictive_accuracy: 0.9094, prior_entropy: 0.9674, recall: 0.9094, relative_absolute_error: 0.291, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.275, root_relative_squared_error: 0.5628, scimark_benchmark: 947.9726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5055, f_measure: 0.4706, kappa: 0.0133, kb_relative_information_score: 758.4159, mean_absolute_error: 0.391, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.6233, predictive_accuracy: 0.609, prior_entropy: 0.9674, recall: 0.609, relative_absolute_error: 0.8188, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6253, root_relative_squared_error: 1.2797, scimark_benchmark: 948.0492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8911, kappa: 0.7705, kb_relative_information_score: 3169.259, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8927, predictive_accuracy: 0.8922, prior_entropy: 0.9674, recall: 0.8922, relative_absolute_error: 0.3268, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2798, root_relative_squared_error: 0.5726, scimark_benchmark: 943.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.4573, kb_relative_information_score: -0.0763, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 894.4712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.8889, kappa: 0.765, kb_relative_information_score: 3530.7882, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8955, predictive_accuracy: 0.8911, prior_entropy: 0.9674, recall: 0.8911, relative_absolute_error: 0.228, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.33, root_relative_squared_error: 0.6753, scimark_benchmark: 947.0766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6457, f_measure: 0.6192, kappa: 0.2302, kb_relative_information_score: 1234.5916, mean_absolute_error: 0.3513, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7239, predictive_accuracy: 0.6783, prior_entropy: 0.9674, recall: 0.6783, relative_absolute_error: 0.7356, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4994, root_relative_squared_error: 1.0219, scimark_benchmark: 948.9203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.9143, kappa: 0.8202, kb_relative_information_score: 3493.3217, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9144, predictive_accuracy: 0.9146, prior_entropy: 0.9674, recall: 0.9146, relative_absolute_error: 0.2571, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.5399, scimark_benchmark: 944.5159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.9241, kappa: 0.8411, kb_relative_information_score: 3768.5434, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9241, predictive_accuracy: 0.9241, prior_entropy: 0.9674, recall: 0.9241, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.5389, scimark_benchmark: 945.9668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.9229, kappa: 0.8378, kb_relative_information_score: 3849.0343, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.924, predictive_accuracy: 0.9235, prior_entropy: 0.9674, recall: 0.9235, relative_absolute_error: 0.1602, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.566, scimark_benchmark: 946.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.9317, kappa: 0.8563, kb_relative_information_score: 3932.3337, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.932, predictive_accuracy: 0.932, prior_entropy: 0.9674, recall: 0.932, relative_absolute_error: 0.1425, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.5338, scimark_benchmark: 911.9258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.9248, kappa: 0.8424, kb_relative_information_score: 3783.1756, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9247, predictive_accuracy: 0.9248, prior_entropy: 0.9674, recall: 0.9248, relative_absolute_error: 0.1808, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2628, root_relative_squared_error: 0.5379, scimark_benchmark: 942.2996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.9284, kappa: 0.8498, kb_relative_information_score: 3746.6292, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9284, predictive_accuracy: 0.9285, prior_entropy: 0.9674, recall: 0.9285, relative_absolute_error: 0.1946, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.521, scimark_benchmark: 932.6358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, f_measure: 0.9262, kappa: 0.8454, kb_relative_information_score: 3625.9798, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9262, predictive_accuracy: 0.9263, prior_entropy: 0.9674, recall: 0.9263, relative_absolute_error: 0.2277, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.5287, scimark_benchmark: 948.1195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9438, kappa: 0.8821, kb_relative_information_score: 3665.1924, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9439, predictive_accuracy: 0.9439, prior_entropy: 0.9674, recall: 0.9439, relative_absolute_error: 0.2248, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.4308, scimark_benchmark: 938.7612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9219, kappa: 0.8358, kb_relative_information_score: 3535.1783, mean_absolute_error: 0.1178, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9221, predictive_accuracy: 0.9222, prior_entropy: 0.9674, recall: 0.9222, relative_absolute_error: 0.2467, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.4954, scimark_benchmark: 910.8708,

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