OpenML
Supervised Classification on breast-w

Supervised Classification on breast-w

Task 15 Supervised Classification breast-w 24607 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_70 study_98 study_99 under100k under1m
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24607 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9571, kappa: 0.905, kb_relative_information_score: 605.8989, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9571, predictive_accuracy: 0.9571, prior_entropy: 0.9297, recall: 0.9571, relative_absolute_error: 0.1402, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.3722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9571, kappa: 0.905, kb_relative_information_score: 605.8989, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9571, predictive_accuracy: 0.9571, prior_entropy: 0.9297, recall: 0.9571, relative_absolute_error: 0.1402, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.3722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9571, kappa: 0.905, kb_relative_information_score: 605.8989, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9571, predictive_accuracy: 0.9571, prior_entropy: 0.9297, recall: 0.9571, relative_absolute_error: 0.1402, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.3722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9571, kappa: 0.905, kb_relative_information_score: 605.8989, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9571, predictive_accuracy: 0.9571, prior_entropy: 0.9297, recall: 0.9571, relative_absolute_error: 0.1402, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.3722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.96, kappa: 0.9117, kb_relative_information_score: 627.8608, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9602, predictive_accuracy: 0.9599, prior_entropy: 0.9297, recall: 0.9599, relative_absolute_error: 0.0997, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.3946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.96, kappa: 0.9117, kb_relative_information_score: 627.8608, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9602, predictive_accuracy: 0.9599, prior_entropy: 0.9297, recall: 0.9599, relative_absolute_error: 0.0997, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.3946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9543, kappa: 0.8989, kb_relative_information_score: 624.0246, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9543, predictive_accuracy: 0.9542, prior_entropy: 0.9297, recall: 0.9542, relative_absolute_error: 0.1041, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.194, root_relative_squared_error: 0.4081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9543, kappa: 0.8989, kb_relative_information_score: 623.1638, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9543, predictive_accuracy: 0.9542, prior_entropy: 0.9297, recall: 0.9542, relative_absolute_error: 0.1058, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.4321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9571, kappa: 0.9052, kb_relative_information_score: 628.1019, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9572, predictive_accuracy: 0.9571, prior_entropy: 0.9297, recall: 0.9571, relative_absolute_error: 0.0992, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.3972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9615, kappa: 0.9149, kb_relative_information_score: 622.7766, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9617, predictive_accuracy: 0.9614, prior_entropy: 0.9297, recall: 0.9614, relative_absolute_error: 0.1104, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.3779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.9643, kappa: 0.9212, kb_relative_information_score: 641.0055, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9645, predictive_accuracy: 0.9642, prior_entropy: 0.9297, recall: 0.9642, relative_absolute_error: 0.0791, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.3979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.94, kappa: 0.8673, kb_relative_information_score: 601.7784, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.94, predictive_accuracy: 0.9399, prior_entropy: 0.9297, recall: 0.9399, relative_absolute_error: 0.1329, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.5157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.9628, kappa: 0.9178, kb_relative_information_score: 638.698, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9629, predictive_accuracy: 0.9628, prior_entropy: 0.9297, recall: 0.9628, relative_absolute_error: 0.0823, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.4058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9656, kappa: 0.9237, kb_relative_information_score: 643.313, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9656, predictive_accuracy: 0.9657, prior_entropy: 0.9297, recall: 0.9657, relative_absolute_error: 0.076, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.3899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.9642, kappa: 0.9208, kb_relative_information_score: 641.0055, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9642, predictive_accuracy: 0.9642, prior_entropy: 0.9297, recall: 0.9642, relative_absolute_error: 0.0791, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.3979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9602, kappa: 0.9127, kb_relative_information_score: 634.0831, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9616, predictive_accuracy: 0.9599, prior_entropy: 0.9297, recall: 0.9599, relative_absolute_error: 0.0886, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.4211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9543, kappa: 0.8989, kb_relative_information_score: 624.0246, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9543, predictive_accuracy: 0.9542, prior_entropy: 0.9297, recall: 0.9542, relative_absolute_error: 0.1041, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.194, root_relative_squared_error: 0.4081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9602, kappa: 0.9127, kb_relative_information_score: 634.174, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9616, predictive_accuracy: 0.9599, prior_entropy: 0.9297, recall: 0.9599, relative_absolute_error: 0.0885, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9602, kappa: 0.9127, kb_relative_information_score: 634.174, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9616, predictive_accuracy: 0.9599, prior_entropy: 0.9297, recall: 0.9599, relative_absolute_error: 0.0885, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.9368, kappa: 0.8596, kb_relative_information_score: 563.1803, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9368, predictive_accuracy: 0.9371, prior_entropy: 0.9297, recall: 0.9371, relative_absolute_error: 0.2053, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.4808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9333, kappa: 0.8536, kb_relative_information_score: 553.9602, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.935, predictive_accuracy: 0.9328, prior_entropy: 0.9297, recall: 0.9328, relative_absolute_error: 0.219, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.5024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.9191, kappa: 0.8228, kb_relative_information_score: 529.4197, mean_absolute_error: 0.1153, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9213, predictive_accuracy: 0.9185, prior_entropy: 0.9297, recall: 0.9185, relative_absolute_error: 0.2551, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.5251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.9361, kappa: 0.8596, kb_relative_information_score: 553.5758, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9374, predictive_accuracy: 0.9356, prior_entropy: 0.9297, recall: 0.9356, relative_absolute_error: 0.2225, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2354, root_relative_squared_error: 0.4952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.9191, kappa: 0.8228, kb_relative_information_score: 529.4197, mean_absolute_error: 0.1153, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9213, predictive_accuracy: 0.9185, prior_entropy: 0.9297, recall: 0.9185, relative_absolute_error: 0.2551, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.5251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.9143, kappa: 0.8108, kb_relative_information_score: 495.0557, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9146, predictive_accuracy: 0.9142, prior_entropy: 0.9297, recall: 0.9142, relative_absolute_error: 0.3166, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.5798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9471, kappa: 0.8832, kb_relative_information_score: 583.1612, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9473, predictive_accuracy: 0.9471, prior_entropy: 0.9297, recall: 0.9471, relative_absolute_error: 0.1755, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.4477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.95, kappa: 0.8897, kb_relative_information_score: 600.2703, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9503, predictive_accuracy: 0.9499, prior_entropy: 0.9297, recall: 0.9499, relative_absolute_error: 0.146, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.4387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.936, kappa: 0.8593, kb_relative_information_score: 555.1507, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9371, predictive_accuracy: 0.9356, prior_entropy: 0.9297, recall: 0.9356, relative_absolute_error: 0.2195, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2344, root_relative_squared_error: 0.4931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.9179, kappa: 0.8206, kb_relative_information_score: 525.8134, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.921, predictive_accuracy: 0.917, prior_entropy: 0.9297, recall: 0.917, relative_absolute_error: 0.2612, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2527, root_relative_squared_error: 0.5316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.9402, kappa: 0.8683, kb_relative_information_score: 556.8185, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9409, predictive_accuracy: 0.9399, prior_entropy: 0.9297, recall: 0.9399, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.4906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9418, f_measure: 0.9471, kappa: 0.8832, kb_relative_information_score: 594.453, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9473, predictive_accuracy: 0.9471, prior_entropy: 0.9297, recall: 0.9471, relative_absolute_error: 0.1544, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.4637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.9401, kappa: 0.8678, kb_relative_information_score: 562.6901, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9404, predictive_accuracy: 0.9399, prior_entropy: 0.9297, recall: 0.9399, relative_absolute_error: 0.2092, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.4871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.9143, kappa: 0.8108, kb_relative_information_score: 495.0557, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9146, predictive_accuracy: 0.9142, prior_entropy: 0.9297, recall: 0.9142, relative_absolute_error: 0.3166, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.5798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.95, kappa: 0.8897, kb_relative_information_score: 600.2703, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9503, predictive_accuracy: 0.9499, prior_entropy: 0.9297, recall: 0.9499, relative_absolute_error: 0.146, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.4387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.9143, kappa: 0.8108, kb_relative_information_score: 495.0557, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9146, predictive_accuracy: 0.9142, prior_entropy: 0.9297, recall: 0.9142, relative_absolute_error: 0.3166, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.5798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.9143, kappa: 0.8108, kb_relative_information_score: 498.5334, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9146, predictive_accuracy: 0.9142, prior_entropy: 0.9297, recall: 0.9142, relative_absolute_error: 0.3099, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2757, root_relative_squared_error: 0.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.9191, kappa: 0.8228, kb_relative_information_score: 529.4197, mean_absolute_error: 0.1153, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9213, predictive_accuracy: 0.9185, prior_entropy: 0.9297, recall: 0.9185, relative_absolute_error: 0.2551, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.5251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.9143, kappa: 0.8108, kb_relative_information_score: 495.0557, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9146, predictive_accuracy: 0.9142, prior_entropy: 0.9297, recall: 0.9142, relative_absolute_error: 0.3166, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.5798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.9143, kappa: 0.8108, kb_relative_information_score: 495.0557, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9146, predictive_accuracy: 0.9142, prior_entropy: 0.9297, recall: 0.9142, relative_absolute_error: 0.3166, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.5798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.9341, kappa: 0.8538, kb_relative_information_score: 556.8802, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.934, predictive_accuracy: 0.9342, prior_entropy: 0.9297, recall: 0.9342, relative_absolute_error: 0.2165, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2338, root_relative_squared_error: 0.4919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.9501, kappa: 0.8901, kb_relative_information_score: 590.4411, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9507, predictive_accuracy: 0.9499, prior_entropy: 0.9297, recall: 0.9499, relative_absolute_error: 0.1649, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.4486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.9501, kappa: 0.8901, kb_relative_information_score: 590.4411, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9507, predictive_accuracy: 0.9499, prior_entropy: 0.9297, recall: 0.9499, relative_absolute_error: 0.1649, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.4486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.9425, kappa: 0.8723, kb_relative_information_score: 598.7778, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9426, predictive_accuracy: 0.9428, prior_entropy: 0.9297, recall: 0.9428, relative_absolute_error: 0.1424, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.4706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.9372, kappa: 0.8615, kb_relative_information_score: 553.3941, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9376, predictive_accuracy: 0.9371, prior_entropy: 0.9297, recall: 0.9371, relative_absolute_error: 0.2254, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.4924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.9348, kappa: 0.8572, kb_relative_information_score: 555.2613, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.937, predictive_accuracy: 0.9342, prior_entropy: 0.9297, recall: 0.9342, relative_absolute_error: 0.2172, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2382, root_relative_squared_error: 0.5012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.9143, kappa: 0.8108, kb_relative_information_score: 495.0557, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9146, predictive_accuracy: 0.9142, prior_entropy: 0.9297, recall: 0.9142, relative_absolute_error: 0.3166, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.5798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.95, kappa: 0.8895, kb_relative_information_score: 582.6822, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9501, predictive_accuracy: 0.9499, prior_entropy: 0.9297, recall: 0.9499, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.4441,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.9143, kappa: 0.8108, kb_relative_information_score: 495.0557, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9146, predictive_accuracy: 0.9142, prior_entropy: 0.9297, recall: 0.9142, relative_absolute_error: 0.3166, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.5798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.9501, kappa: 0.8899, kb_relative_information_score: 592.7024, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9505, predictive_accuracy: 0.9499, prior_entropy: 0.9297, recall: 0.9499, relative_absolute_error: 0.1587, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.4458,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.9191, kappa: 0.8228, kb_relative_information_score: 529.4197, mean_absolute_error: 0.1153, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9213, predictive_accuracy: 0.9185, prior_entropy: 0.9297, recall: 0.9185, relative_absolute_error: 0.2551, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.5251,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.9143, kappa: 0.8108, kb_relative_information_score: 495.0557, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9146, predictive_accuracy: 0.9142, prior_entropy: 0.9297, recall: 0.9142, relative_absolute_error: 0.3166, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.5798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.95, kappa: 0.8895, kb_relative_information_score: 582.6822, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9501, predictive_accuracy: 0.9499, prior_entropy: 0.9297, recall: 0.9499, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.4441,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.9377, kappa: 0.8639, kb_relative_information_score: 561.0129, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9407, predictive_accuracy: 0.9371, prior_entropy: 0.9297, recall: 0.9371, relative_absolute_error: 0.2084, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.9391, kappa: 0.8671, kb_relative_information_score: 563.9426, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9423, predictive_accuracy: 0.9385, prior_entropy: 0.9297, recall: 0.9385, relative_absolute_error: 0.2039, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.4835,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.9179, kappa: 0.8206, kb_relative_information_score: 525.8134, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.921, predictive_accuracy: 0.917, prior_entropy: 0.9297, recall: 0.917, relative_absolute_error: 0.2612, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2527, root_relative_squared_error: 0.5316,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.95, kappa: 0.8895, kb_relative_information_score: 582.6822, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9501, predictive_accuracy: 0.9499, prior_entropy: 0.9297, recall: 0.9499, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.4441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.9391, kappa: 0.8671, kb_relative_information_score: 563.9426, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9423, predictive_accuracy: 0.9385, prior_entropy: 0.9297, recall: 0.9385, relative_absolute_error: 0.2039, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.4835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.95, kappa: 0.8895, kb_relative_information_score: 582.6822, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9501, predictive_accuracy: 0.9499, prior_entropy: 0.9297, recall: 0.9499, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.4441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.95, kappa: 0.8895, kb_relative_information_score: 588.8379, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9501, predictive_accuracy: 0.9499, prior_entropy: 0.9297, recall: 0.9499, relative_absolute_error: 0.1663, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.4383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.9368, kappa: 0.8596, kb_relative_information_score: 563.1803, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9368, predictive_accuracy: 0.9371, prior_entropy: 0.9297, recall: 0.9371, relative_absolute_error: 0.2053, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.4808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9333, kappa: 0.8536, kb_relative_information_score: 553.9602, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.935, predictive_accuracy: 0.9328, prior_entropy: 0.9297, recall: 0.9328, relative_absolute_error: 0.219, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.5024,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.9143, kappa: 0.8108, kb_relative_information_score: 495.0557, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9146, predictive_accuracy: 0.9142, prior_entropy: 0.9297, recall: 0.9142, relative_absolute_error: 0.3166, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.5798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9457, kappa: 0.8799, kb_relative_information_score: 576.6905, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9458, predictive_accuracy: 0.9456, prior_entropy: 0.9297, recall: 0.9456, relative_absolute_error: 0.1857, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.4652,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.9348, kappa: 0.8572, kb_relative_information_score: 556.5127, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.937, predictive_accuracy: 0.9342, prior_entropy: 0.9297, recall: 0.9342, relative_absolute_error: 0.2149, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.4985,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.9191, kappa: 0.8228, kb_relative_information_score: 529.4197, mean_absolute_error: 0.1153, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9213, predictive_accuracy: 0.9185, prior_entropy: 0.9297, recall: 0.9185, relative_absolute_error: 0.2551, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.5251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.9401, kappa: 0.868, kb_relative_information_score: 559.4527, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9406, predictive_accuracy: 0.9399, prior_entropy: 0.9297, recall: 0.9399, relative_absolute_error: 0.2154, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2347, root_relative_squared_error: 0.4937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.95, kappa: 0.8895, kb_relative_information_score: 588.8379, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9501, predictive_accuracy: 0.9499, prior_entropy: 0.9297, recall: 0.9499, relative_absolute_error: 0.1663, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.4383,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.95, kappa: 0.8895, kb_relative_information_score: 588.8379, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9501, predictive_accuracy: 0.9499, prior_entropy: 0.9297, recall: 0.9499, relative_absolute_error: 0.1663, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.4383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.9402, kappa: 0.8683, kb_relative_information_score: 555.4543, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9409, predictive_accuracy: 0.9399, prior_entropy: 0.9297, recall: 0.9399, relative_absolute_error: 0.2233, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.232, root_relative_squared_error: 0.4882,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9457, kappa: 0.8799, kb_relative_information_score: 576.6905, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9458, predictive_accuracy: 0.9456, prior_entropy: 0.9297, recall: 0.9456, relative_absolute_error: 0.1857, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.4652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.9333, kappa: 0.8539, kb_relative_information_score: 555.0446, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9353, predictive_accuracy: 0.9328, prior_entropy: 0.9297, recall: 0.9328, relative_absolute_error: 0.2164, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.5044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.9333, kappa: 0.8539, kb_relative_information_score: 555.0446, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9353, predictive_accuracy: 0.9328, prior_entropy: 0.9297, recall: 0.9328, relative_absolute_error: 0.2164, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.5044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.9425, kappa: 0.8723, kb_relative_information_score: 598.7778, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9426, predictive_accuracy: 0.9428, prior_entropy: 0.9297, recall: 0.9428, relative_absolute_error: 0.1424, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.4706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.9191, kappa: 0.8228, kb_relative_information_score: 529.4197, mean_absolute_error: 0.1153, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9213, predictive_accuracy: 0.9185, prior_entropy: 0.9297, recall: 0.9185, relative_absolute_error: 0.2551, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.5251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.9375, kappa: 0.8626, kb_relative_information_score: 550.5972, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9387, predictive_accuracy: 0.9371, prior_entropy: 0.9297, recall: 0.9371, relative_absolute_error: 0.2295, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2344, root_relative_squared_error: 0.4933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.9401, kappa: 0.868, kb_relative_information_score: 559.4527, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9406, predictive_accuracy: 0.9399, prior_entropy: 0.9297, recall: 0.9399, relative_absolute_error: 0.2154, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2347, root_relative_squared_error: 0.4937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.9191, kappa: 0.8228, kb_relative_information_score: 529.4197, mean_absolute_error: 0.1153, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9213, predictive_accuracy: 0.9185, prior_entropy: 0.9297, recall: 0.9185, relative_absolute_error: 0.2551, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.5251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.9191, kappa: 0.8225, kb_relative_information_score: 511.718, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9208, predictive_accuracy: 0.9185, prior_entropy: 0.9297, recall: 0.9185, relative_absolute_error: 0.2877, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.5586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.9501, kappa: 0.8901, kb_relative_information_score: 589.7313, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9507, predictive_accuracy: 0.9499, prior_entropy: 0.9297, recall: 0.9499, relative_absolute_error: 0.166, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.4455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.9343, kappa: 0.8549, kb_relative_information_score: 543.7215, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9345, predictive_accuracy: 0.9342, prior_entropy: 0.9297, recall: 0.9342, relative_absolute_error: 0.241, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2434, root_relative_squared_error: 0.512,

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