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: 0.9465, 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: 0.9665, 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,
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: 0.9465, 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: 0.9482, f_measure: 0.9333, kappa: 0.8536, kb_relative_information_score: 548.6871, mean_absolute_error: 0.1035, 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: 0.229, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2419, root_relative_squared_error: 0.5089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.9204, kappa: 0.8251, kb_relative_information_score: 513.4375, mean_absolute_error: 0.1293, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9217, predictive_accuracy: 0.9199, prior_entropy: 0.9297, recall: 0.9199, relative_absolute_error: 0.2862, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2644, root_relative_squared_error: 0.5563,
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,
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: 0.9246, 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: 0.9572, 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: 0.9572, 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: 0.9493, f_measure: 0.9347, kappa: 0.8569, kb_relative_information_score: 554.1769, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9366, predictive_accuracy: 0.9342, prior_entropy: 0.9297, recall: 0.9342, relative_absolute_error: 0.2198, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.4992,
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: 0.9621, f_measure: 0.9362, kappa: 0.8604, kb_relative_information_score: 559.9804, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9386, predictive_accuracy: 0.9356, prior_entropy: 0.9297, recall: 0.9356, relative_absolute_error: 0.2092, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2342, root_relative_squared_error: 0.4928,
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: 0.9439, f_measure: 0.9472, kappa: 0.8836, kb_relative_information_score: 589.8077, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9476, predictive_accuracy: 0.9471, prior_entropy: 0.9297, recall: 0.9471, relative_absolute_error: 0.1636, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.4601,
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: 0.9499, 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: 0.9432, f_measure: 0.9361, kappa: 0.8596, kb_relative_information_score: 550.6114, mean_absolute_error: 0.1032, 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: 0.2284, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.4957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.9377, kappa: 0.8636, kb_relative_information_score: 560.1971, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9402, predictive_accuracy: 0.9371, prior_entropy: 0.9297, recall: 0.9371, relative_absolute_error: 0.21, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4895,
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: 0.9486, 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: 0.9443, 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,
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: 0.9638, f_measure: 0.9486, kappa: 0.8867, kb_relative_information_score: 584.2535, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9489, predictive_accuracy: 0.9485, prior_entropy: 0.9297, recall: 0.9485, relative_absolute_error: 0.1733, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.4517,
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: 0.9449, f_measure: 0.9471, kappa: 0.883, kb_relative_information_score: 596.8292, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9471, predictive_accuracy: 0.9471, prior_entropy: 0.9297, recall: 0.9471, relative_absolute_error: 0.1497, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.4613,
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: 0.9599, 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: 0.9546, f_measure: 0.9341, kappa: 0.8538, kb_relative_information_score: 559.8445, mean_absolute_error: 0.0952, 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: 0.2105, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.4914,
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: 0.9493, f_measure: 0.9347, kappa: 0.8569, kb_relative_information_score: 554.1769, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9366, predictive_accuracy: 0.9342, prior_entropy: 0.9297, recall: 0.9342, relative_absolute_error: 0.2198, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.4992,
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: 0.9449, f_measure: 0.9471, kappa: 0.883, kb_relative_information_score: 596.8292, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9471, predictive_accuracy: 0.9471, prior_entropy: 0.9297, recall: 0.9471, relative_absolute_error: 0.1497, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.4613,
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: 0.9246, 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: 0.9465, 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: 0.9665, 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: 0.9252, 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: 0.9536, f_measure: 0.9472, kappa: 0.8836, kb_relative_information_score: 591.7936, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9476, predictive_accuracy: 0.9471, prior_entropy: 0.9297, recall: 0.9471, relative_absolute_error: 0.1596, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.46,
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: 0.9449, 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: 0.9246, 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: 0.9624, f_measure: 0.9486, kappa: 0.8867, kb_relative_information_score: 587.4779, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9489, predictive_accuracy: 0.9485, prior_entropy: 0.9297, recall: 0.9485, relative_absolute_error: 0.1678, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.4526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.9309, kappa: 0.8462, kb_relative_information_score: 587.9335, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9311, predictive_accuracy: 0.9313, prior_entropy: 0.9297, recall: 0.9313, relative_absolute_error: 0.1519, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.262, root_relative_squared_error: 0.5513,
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: 0.9181, f_measure: 0.9309, kappa: 0.8462, kb_relative_information_score: 587.9335, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9311, predictive_accuracy: 0.9313, prior_entropy: 0.9297, recall: 0.9313, relative_absolute_error: 0.1519, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.262, root_relative_squared_error: 0.5513,
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: 0.9621, f_measure: 0.9485, kappa: 0.8862, kb_relative_information_score: 586.575, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9486, predictive_accuracy: 0.9485, prior_entropy: 0.9297, recall: 0.9485, relative_absolute_error: 0.1698, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.211, root_relative_squared_error: 0.4439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.9473, kappa: 0.8841, kb_relative_information_score: 581.7875, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9481, predictive_accuracy: 0.9471, prior_entropy: 0.9297, recall: 0.9471, relative_absolute_error: 0.1786, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9462, f_measure: 0.9358, kappa: 0.8582, kb_relative_information_score: 553.8097, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.936, predictive_accuracy: 0.9356, prior_entropy: 0.9297, recall: 0.9356, relative_absolute_error: 0.2237, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.4943,
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: 0.9486, 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: 0.9538, f_measure: 0.9387, kappa: 0.8648, kb_relative_information_score: 568.058, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9391, predictive_accuracy: 0.9385, prior_entropy: 0.9297, recall: 0.9385, relative_absolute_error: 0.1978, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.4878,
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: 0.9557, f_measure: 0.9487, kappa: 0.8869, kb_relative_information_score: 591.3087, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9492, predictive_accuracy: 0.9485, prior_entropy: 0.9297, recall: 0.9485, relative_absolute_error: 0.1618, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.4541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.9486, kappa: 0.8867, kb_relative_information_score: 584.2535, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9489, predictive_accuracy: 0.9485, prior_entropy: 0.9297, recall: 0.9485, relative_absolute_error: 0.1733, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.4517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.943, kappa: 0.8743, kb_relative_information_score: 563.4296, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9435, predictive_accuracy: 0.9428, prior_entropy: 0.9297, recall: 0.9428, relative_absolute_error: 0.2103, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.4812,
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: 0.931, f_measure: 0.9471, kappa: 0.8832, kb_relative_information_score: 598.7458, mean_absolute_error: 0.0658, 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: 0.1455, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.4723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.9362, kappa: 0.8604, kb_relative_information_score: 559.9804, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9386, predictive_accuracy: 0.9356, prior_entropy: 0.9297, recall: 0.9356, relative_absolute_error: 0.2092, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2342, root_relative_squared_error: 0.4928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.9444, kappa: 0.8774, kb_relative_information_score: 573.6556, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9448, predictive_accuracy: 0.9442, prior_entropy: 0.9297, recall: 0.9442, relative_absolute_error: 0.1913, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.469,
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,
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: 0.9246, 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: 0.9252, 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: 0.9508, 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: 0.9538, f_measure: 0.9387, kappa: 0.8648, kb_relative_information_score: 568.058, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9391, predictive_accuracy: 0.9385, prior_entropy: 0.9297, recall: 0.9385, relative_absolute_error: 0.1978, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.4878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.9486, kappa: 0.8867, kb_relative_information_score: 584.2535, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9489, predictive_accuracy: 0.9485, prior_entropy: 0.9297, recall: 0.9485, relative_absolute_error: 0.1733, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.4517,
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: 0.9499, 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: 0.9246, 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: 0.9513, 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: 0.9382, 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,
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: 0.9246, 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: 0.951, f_measure: 0.9416, kappa: 0.8713, kb_relative_information_score: 573.3095, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9422, predictive_accuracy: 0.9413, prior_entropy: 0.9297, recall: 0.9413, relative_absolute_error: 0.1903, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.4804,
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: 0.9665, 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: 0.9246, 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: 0.9599, 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: 0.9479, 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: 0.9246, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9462, f_measure: 0.9358, kappa: 0.8582, kb_relative_information_score: 553.8097, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.936, predictive_accuracy: 0.9356, prior_entropy: 0.9297, recall: 0.9356, relative_absolute_error: 0.2237, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.4943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.9362, kappa: 0.8604, kb_relative_information_score: 559.9804, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9386, predictive_accuracy: 0.9356, prior_entropy: 0.9297, recall: 0.9356, relative_absolute_error: 0.2092, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2342, root_relative_squared_error: 0.4928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.9416, kappa: 0.8713, kb_relative_information_score: 573.3095, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9422, predictive_accuracy: 0.9413, prior_entropy: 0.9297, recall: 0.9413, relative_absolute_error: 0.1903, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.4804,
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: 0.9363, f_measure: 0.9471, kappa: 0.8832, kb_relative_information_score: 600.1827, mean_absolute_error: 0.0645, 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: 0.1426, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.4716,
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: 0.9449, 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: 0.9384, f_measure: 0.9471, kappa: 0.8832, kb_relative_information_score: 594.6472, mean_absolute_error: 0.0696, 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: 0.154, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.4664,

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