OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 32751 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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32751 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.839, kappa: 0.6088, kb_relative_information_score: 19279.648, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8407, predictive_accuracy: 0.8377, prior_entropy: 0.863, recall: 0.8377, relative_absolute_error: 0.408, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.839, kappa: 0.6088, kb_relative_information_score: 19284.5868, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8407, predictive_accuracy: 0.8377, prior_entropy: 0.863, recall: 0.8377, relative_absolute_error: 0.4079, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.8509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8374, kappa: 0.6049, kb_relative_information_score: 19164.7699, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8391, predictive_accuracy: 0.8362, prior_entropy: 0.863, recall: 0.8362, relative_absolute_error: 0.411, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3857, root_relative_squared_error: 0.8539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -109.2028, mean_absolute_error: 0.4086, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.8364, kappa: 0.6063, kb_relative_information_score: 18823.4223, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8408, predictive_accuracy: 0.8339, prior_entropy: 0.863, recall: 0.8339, relative_absolute_error: 0.4191, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.8606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9352, kappa: 0.8415, kb_relative_information_score: 26552.8484, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9353, predictive_accuracy: 0.9351, prior_entropy: 0.863, recall: 0.9351, relative_absolute_error: 0.2314, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.4847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.8388, kappa: 0.6081, kb_relative_information_score: 19224.1235, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8404, predictive_accuracy: 0.8375, prior_entropy: 0.863, recall: 0.8375, relative_absolute_error: 0.4093, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.385, root_relative_squared_error: 0.8523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.8389, kappa: 0.6086, kb_relative_information_score: 19273.8557, mean_absolute_error: 0.1666, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8406, predictive_accuracy: 0.8376, prior_entropy: 0.863, recall: 0.8376, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.8511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, f_measure: 0.8356, kappa: 0.6043, kb_relative_information_score: 18803.3449, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.84, predictive_accuracy: 0.8331, prior_entropy: 0.863, recall: 0.8331, relative_absolute_error: 0.4197, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.389, root_relative_squared_error: 0.8613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.8386, kappa: 0.6078, kb_relative_information_score: 19218.7348, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8403, predictive_accuracy: 0.8374, prior_entropy: 0.863, recall: 0.8374, relative_absolute_error: 0.4095, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.385, root_relative_squared_error: 0.8524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.8321, kappa: 0.5947, kb_relative_information_score: 18705.8924, mean_absolute_error: 0.1725, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8356, predictive_accuracy: 0.8299, prior_entropy: 0.863, recall: 0.8299, relative_absolute_error: 0.4227, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.8649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.8365, kappa: 0.6067, kb_relative_information_score: 18828.6803, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.841, predictive_accuracy: 0.834, prior_entropy: 0.863, recall: 0.834, relative_absolute_error: 0.419, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.8605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.839, kappa: 0.6088, kb_relative_information_score: 19279.9242, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8407, predictive_accuracy: 0.8377, prior_entropy: 0.863, recall: 0.8377, relative_absolute_error: 0.408, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.936, kappa: 0.8434, kb_relative_information_score: 26746.7246, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9361, predictive_accuracy: 0.9359, prior_entropy: 0.863, recall: 0.9359, relative_absolute_error: 0.2253, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.4809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8355, kappa: 0.604, kb_relative_information_score: 18791.1518, mean_absolute_error: 0.1714, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8398, predictive_accuracy: 0.833, prior_entropy: 0.863, recall: 0.833, relative_absolute_error: 0.42, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.8617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9319, kappa: 0.8322, kb_relative_information_score: 22580.0799, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9317, predictive_accuracy: 0.9323, prior_entropy: 0.863, recall: 0.9323, relative_absolute_error: 0.3766, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.239, root_relative_squared_error: 0.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.839, kappa: 0.6088, kb_relative_information_score: 19284.7378, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8407, predictive_accuracy: 0.8377, prior_entropy: 0.863, recall: 0.8377, relative_absolute_error: 0.4079, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.8509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9348, kappa: 0.8403, kb_relative_information_score: 26293.0407, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9348, predictive_accuracy: 0.9348, prior_entropy: 0.863, recall: 0.9348, relative_absolute_error: 0.2416, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.4845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8061, f_measure: 0.7624, kappa: 0.5007, kb_relative_information_score: 9406.629, mean_absolute_error: 0.2819, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8422, predictive_accuracy: 0.7504, prior_entropy: 0.863, recall: 0.7504, relative_absolute_error: 0.6908, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.376, root_relative_squared_error: 0.8324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8061, f_measure: 0.7624, kappa: 0.5007, kb_relative_information_score: 9406.629, mean_absolute_error: 0.2819, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8422, predictive_accuracy: 0.7504, prior_entropy: 0.863, recall: 0.7504, relative_absolute_error: 0.6908, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.376, root_relative_squared_error: 0.8324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.7715, kappa: 0.5144, kb_relative_information_score: 9840.1104, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8435, predictive_accuracy: 0.7599, prior_entropy: 0.863, recall: 0.7599, relative_absolute_error: 0.6829, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.8264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8061, f_measure: 0.7624, kappa: 0.5007, kb_relative_information_score: 9406.629, mean_absolute_error: 0.2819, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8422, predictive_accuracy: 0.7504, prior_entropy: 0.863, recall: 0.7504, relative_absolute_error: 0.6908, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.376, root_relative_squared_error: 0.8324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.839, kappa: 0.6088, kb_relative_information_score: 19284.0575, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8407, predictive_accuracy: 0.8377, prior_entropy: 0.863, recall: 0.8377, relative_absolute_error: 0.4079, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.8509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.839, kappa: 0.6088, kb_relative_information_score: 19284.1584, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8407, predictive_accuracy: 0.8377, prior_entropy: 0.863, recall: 0.8377, relative_absolute_error: 0.4079, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.8509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.839, kappa: 0.6088, kb_relative_information_score: 19267.4844, mean_absolute_error: 0.1666, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8407, predictive_accuracy: 0.8377, prior_entropy: 0.863, recall: 0.8377, relative_absolute_error: 0.4083, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.8513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9345, kappa: 0.8401, kb_relative_information_score: 26174.6298, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9348, predictive_accuracy: 0.9343, prior_entropy: 0.863, recall: 0.9343, relative_absolute_error: 0.247, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.4925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.7715, kappa: 0.5144, kb_relative_information_score: 9840.1104, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8435, predictive_accuracy: 0.7599, prior_entropy: 0.863, recall: 0.7599, relative_absolute_error: 0.6829, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.8264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8061, f_measure: 0.7624, kappa: 0.5007, kb_relative_information_score: 9406.629, mean_absolute_error: 0.2819, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8422, predictive_accuracy: 0.7504, prior_entropy: 0.863, recall: 0.7504, relative_absolute_error: 0.6908, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.376, root_relative_squared_error: 0.8324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.839, kappa: 0.6087, kb_relative_information_score: 19269.3386, mean_absolute_error: 0.1666, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8407, predictive_accuracy: 0.8377, prior_entropy: 0.863, recall: 0.8377, relative_absolute_error: 0.4083, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.8512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.839, kappa: 0.6088, kb_relative_information_score: 19284.6193, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8407, predictive_accuracy: 0.8377, prior_entropy: 0.863, recall: 0.8377, relative_absolute_error: 0.4079, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.8509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9382, kappa: 0.8487, kb_relative_information_score: 26844.1697, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9383, predictive_accuracy: 0.9381, prior_entropy: 0.863, recall: 0.9381, relative_absolute_error: 0.2231, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.4764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8323, kappa: 0.5955, kb_relative_information_score: 18748.0613, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8361, predictive_accuracy: 0.8299, prior_entropy: 0.863, recall: 0.8299, relative_absolute_error: 0.4214, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.8633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.8365, kappa: 0.6065, kb_relative_information_score: 18831.4433, mean_absolute_error: 0.1709, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8409, predictive_accuracy: 0.8339, prior_entropy: 0.863, recall: 0.8339, relative_absolute_error: 0.4189, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.8604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.839, kappa: 0.6088, kb_relative_information_score: 19284.6678, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8407, predictive_accuracy: 0.8377, prior_entropy: 0.863, recall: 0.8377, relative_absolute_error: 0.4079, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.8509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.8365, kappa: 0.6065, kb_relative_information_score: 18817.9413, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8409, predictive_accuracy: 0.8339, prior_entropy: 0.863, recall: 0.8339, relative_absolute_error: 0.4193, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.8608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, f_measure: 0.839, kappa: 0.6088, kb_relative_information_score: 19260.5681, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8407, predictive_accuracy: 0.8377, prior_entropy: 0.863, recall: 0.8377, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.8514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.8389, kappa: 0.6087, kb_relative_information_score: 19276.0028, mean_absolute_error: 0.1666, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8407, predictive_accuracy: 0.8377, prior_entropy: 0.863, recall: 0.8377, relative_absolute_error: 0.4081, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.8511,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.7715, kappa: 0.5144, kb_relative_information_score: 9840.1104, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8435, predictive_accuracy: 0.7599, prior_entropy: 0.863, recall: 0.7599, relative_absolute_error: 0.6829, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.8264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8061, f_measure: 0.7624, kappa: 0.5007, kb_relative_information_score: 9406.629, mean_absolute_error: 0.2819, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8422, predictive_accuracy: 0.7504, prior_entropy: 0.863, recall: 0.7504, relative_absolute_error: 0.6908, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.376, root_relative_squared_error: 0.8324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.8365, kappa: 0.6065, kb_relative_information_score: 18830.8407, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8409, predictive_accuracy: 0.8339, prior_entropy: 0.863, recall: 0.8339, relative_absolute_error: 0.4189, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.8604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8379, kappa: 0.6059, kb_relative_information_score: 19174.6739, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8395, predictive_accuracy: 0.8366, prior_entropy: 0.863, recall: 0.8366, relative_absolute_error: 0.4107, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.8536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.938, kappa: 0.8484, kb_relative_information_score: 26742.0206, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9381, predictive_accuracy: 0.9379, prior_entropy: 0.863, recall: 0.9379, relative_absolute_error: 0.2275, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.4746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9309, kappa: 0.8313, kb_relative_information_score: -2871.4893, mean_absolute_error: 0.4183, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9312, predictive_accuracy: 0.9307, prior_entropy: 0.863, recall: 0.9307, relative_absolute_error: 1.025, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.9378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -0.9344, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,

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