OpenML
Supervised Classification on anneal

Supervised Classification on anneal

Task 2 Supervised Classification anneal 5745 runs submitted
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  • at2 basic d3m study_1 study_107 study_14 study_41 study_70 study_73 under100k
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5745 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9512, kappa: 0.8794, kb_relative_information_score: -641.9459, mean_absolute_error: 0.2538, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9518, predictive_accuracy: 0.951, prior_entropy: 1.2149, recall: 0.951, relative_absolute_error: 1.8901, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3476, root_relative_squared_error: 1.3463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.95, kappa: 0.8759, kb_relative_information_score: -642.8179, mean_absolute_error: 0.2539, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9505, predictive_accuracy: 0.9499, prior_entropy: 1.2149, recall: 0.9499, relative_absolute_error: 1.8905, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3477, root_relative_squared_error: 1.3467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.8837, kappa: 0.7113, kb_relative_information_score: 559.3235, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8958, predictive_accuracy: 0.8786, prior_entropy: 1.2149, recall: 0.8786, relative_absolute_error: 0.4599, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.6881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9612, kappa: 0.9038, kb_relative_information_score: -651.1098, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9617, predictive_accuracy: 0.961, prior_entropy: 1.2149, recall: 0.961, relative_absolute_error: 1.8976, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.349, root_relative_squared_error: 1.3516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9131, kappa: 0.7794, kb_relative_information_score: 713.5566, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9249, predictive_accuracy: 0.9209, prior_entropy: 1.2149, recall: 0.9209, relative_absolute_error: 0.2312, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1311, root_relative_squared_error: 0.5076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9273, kappa: 0.8186, kb_relative_information_score: -672.0088, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9333, predictive_accuracy: 0.9321, prior_entropy: 1.2149, recall: 0.9321, relative_absolute_error: 1.9206, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3533, root_relative_squared_error: 1.3681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.9003, kappa: 0.7405, kb_relative_information_score: -685.2821, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9077, predictive_accuracy: 0.9076, prior_entropy: 1.2149, recall: 0.9076, relative_absolute_error: 1.9398, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3568, root_relative_squared_error: 1.3818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9475, kappa: 0.869, kb_relative_information_score: -673.4653, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9475, predictive_accuracy: 0.9477, prior_entropy: 1.2149, recall: 0.9477, relative_absolute_error: 1.9265, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3543, root_relative_squared_error: 1.3722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, kappa: 0.3024, kb_relative_information_score: 517.1841, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.1343, number_of_instances: 898, predictive_accuracy: 0.8085, prior_entropy: 1.2149, recall: 0.8085, relative_absolute_error: 0.4659, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.7792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9266, kappa: 0.8208, kb_relative_information_score: 652.0097, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9248, predictive_accuracy: 0.9287, prior_entropy: 1.2149, recall: 0.9287, relative_absolute_error: 0.3148, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.5361, scimark_benchmark: 1470.1779, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9477, kappa: 0.8694, kb_relative_information_score: 736.5587, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9478, predictive_accuracy: 0.9477, prior_entropy: 1.2149, recall: 0.9477, relative_absolute_error: 0.1932, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1225, root_relative_squared_error: 0.4744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7693, kappa: 0.0349, kb_relative_information_score: 184.8572, mean_absolute_error: 0.1252, mean_prior_absolute_error: 0.1343, number_of_instances: 898, predictive_accuracy: 0.686, prior_entropy: 1.2149, recall: 0.686, relative_absolute_error: 0.9319, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2505, root_relative_squared_error: 0.9702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.9501, kappa: 0.876, kb_relative_information_score: 762.7151, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9504, predictive_accuracy: 0.9499, prior_entropy: 1.2149, recall: 0.9499, relative_absolute_error: 0.1459, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1239, root_relative_squared_error: 0.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9497, kappa: 0.8741, kb_relative_information_score: 768.0639, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9496, predictive_accuracy: 0.9499, prior_entropy: 1.2149, recall: 0.9499, relative_absolute_error: 0.1237, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.4848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9476, kappa: 0.8695, kb_relative_information_score: -651.8056, mean_absolute_error: 0.2552, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9478, predictive_accuracy: 0.9477, prior_entropy: 1.2149, recall: 0.9477, relative_absolute_error: 1.9004, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3495, root_relative_squared_error: 1.3537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9511, kappa: 0.878, kb_relative_information_score: 773.9267, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9513, predictive_accuracy: 0.951, prior_entropy: 1.2149, recall: 0.951, relative_absolute_error: 0.1191, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1218, root_relative_squared_error: 0.4718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.8382, kappa: 0.5754, kb_relative_information_score: 635.1181, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8784, predictive_accuracy: 0.8653, prior_entropy: 1.2149, recall: 0.8653, relative_absolute_error: 0.3482, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.6175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8068, f_measure: 0.8259, kappa: 0.6016, kb_relative_information_score: -704.3768, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8557, predictive_accuracy: 0.8151, prior_entropy: 1.2149, recall: 0.8151, relative_absolute_error: 1.9648, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3614, root_relative_squared_error: 1.3994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9134, kappa: 0.783, kb_relative_information_score: 714.9468, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9261, predictive_accuracy: 0.922, prior_entropy: 1.2149, recall: 0.922, relative_absolute_error: 0.236, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1283, root_relative_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.63, kappa: 0.3916, kb_relative_information_score: -702.3261, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.1343, number_of_instances: 898, predictive_accuracy: 0.8229, prior_entropy: 1.2149, recall: 0.8229, relative_absolute_error: 1.9615, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3608, root_relative_squared_error: 1.3971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9442, kappa: 0.8616, kb_relative_information_score: 642.8661, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9462, predictive_accuracy: 0.9432, prior_entropy: 1.2149, recall: 0.9432, relative_absolute_error: 0.3463, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1338, root_relative_squared_error: 0.518, scimark_benchmark: 1486.1113, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9497, kappa: 0.8741, kb_relative_information_score: 759.1276, mean_absolute_error: 0.0206, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9497, predictive_accuracy: 0.9499, prior_entropy: 1.2149, recall: 0.9499, relative_absolute_error: 0.153, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1211, root_relative_squared_error: 0.4689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9433, kappa: 0.8583, kb_relative_information_score: -662.2005, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9435, predictive_accuracy: 0.9432, prior_entropy: 1.2149, recall: 0.9432, relative_absolute_error: 1.9126, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3518, root_relative_squared_error: 1.3623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.951, kappa: 0.8776, kb_relative_information_score: 772.7892, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.951, predictive_accuracy: 0.951, prior_entropy: 1.2149, recall: 0.951, relative_absolute_error: 0.1262, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1226, root_relative_squared_error: 0.4749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9451, kappa: 0.8617, kb_relative_information_score: 705.1389, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9453, predictive_accuracy: 0.9454, prior_entropy: 1.2149, recall: 0.9454, relative_absolute_error: 0.2538, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.126, root_relative_squared_error: 0.4879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9467, kappa: 0.8674, kb_relative_information_score: 762.9102, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9469, predictive_accuracy: 0.9465, prior_entropy: 1.2149, recall: 0.9465, relative_absolute_error: 0.1339, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1293, root_relative_squared_error: 0.5009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.8956, kappa: 0.7339, kb_relative_information_score: -687.581, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8955, predictive_accuracy: 0.8964, prior_entropy: 1.2149, recall: 0.8964, relative_absolute_error: 1.9441, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3576, root_relative_squared_error: 1.3849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6578, kappa: 0.4588, kb_relative_information_score: -705.7922, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.1343, number_of_instances: 898, predictive_accuracy: 0.8073, prior_entropy: 1.2149, recall: 0.8073, relative_absolute_error: 1.9652, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3614, root_relative_squared_error: 1.3998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9456, kappa: 0.8647, kb_relative_information_score: 759.2449, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9459, predictive_accuracy: 0.9454, prior_entropy: 1.2149, recall: 0.9454, relative_absolute_error: 0.1367, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.132, root_relative_squared_error: 0.5111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9488, kappa: 0.8724, kb_relative_information_score: 755.1013, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9492, predictive_accuracy: 0.9488, prior_entropy: 1.2149, recall: 0.9488, relative_absolute_error: 0.166, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1182, root_relative_squared_error: 0.4576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.9403, kappa: 0.8525, kb_relative_information_score: 750.4012, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9413, predictive_accuracy: 0.9399, prior_entropy: 1.2149, recall: 0.9399, relative_absolute_error: 0.1511, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.5472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9418, kappa: 0.8545, kb_relative_information_score: 744.1385, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9418, predictive_accuracy: 0.9421, prior_entropy: 1.2149, recall: 0.9421, relative_absolute_error: 0.1471, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.5335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9455, kappa: 0.8639, kb_relative_information_score: 755.6965, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9456, predictive_accuracy: 0.9454, prior_entropy: 1.2149, recall: 0.9454, relative_absolute_error: 0.1402, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1318, root_relative_squared_error: 0.5102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9192, kappa: 0.7923, kb_relative_information_score: 702.4467, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9237, predictive_accuracy: 0.9232, prior_entropy: 1.2149, recall: 0.9232, relative_absolute_error: 0.2551, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1343, root_relative_squared_error: 0.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.9332, kappa: 0.8315, kb_relative_information_score: 628.3241, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9365, predictive_accuracy: 0.931, prior_entropy: 1.2149, recall: 0.931, relative_absolute_error: 0.3616, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.5411, scimark_benchmark: 1473.3026, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9302, kappa: 0.8287, kb_relative_information_score: 675.3316, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9343, predictive_accuracy: 0.9287, prior_entropy: 1.2149, recall: 0.9287, relative_absolute_error: 0.2762, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1313, root_relative_squared_error: 0.5084, scimark_benchmark: 1390.5023, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.917, kappa: 0.7951, kb_relative_information_score: 693.4972, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.918, predictive_accuracy: 0.9165, prior_entropy: 1.2149, recall: 0.9165, relative_absolute_error: 0.2393, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.548, scimark_benchmark: 1445.8007, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 1461.4919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9402, kappa: 0.8548, kb_relative_information_score: 702.9598, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9426, predictive_accuracy: 0.9421, prior_entropy: 1.2149, recall: 0.9421, relative_absolute_error: 0.2606, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1226, root_relative_squared_error: 0.4748, scimark_benchmark: 1590.1735, usercpu_time_millis: 150, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9362, kappa: 0.841, kb_relative_information_score: 733.9666, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9369, predictive_accuracy: 0.9365, prior_entropy: 1.2149, recall: 0.9365, relative_absolute_error: 0.1628, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1391, root_relative_squared_error: 0.5386, scimark_benchmark: 1506.2483, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.9421, kappa: 0.8558, kb_relative_information_score: 754.2052, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9422, predictive_accuracy: 0.9421, prior_entropy: 1.2149, recall: 0.9421, relative_absolute_error: 0.1408, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1353, root_relative_squared_error: 0.5239, scimark_benchmark: 1462.8811, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, kappa: 0.2475, kb_relative_information_score: 169.1476, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.1343, number_of_instances: 898, predictive_accuracy: 0.7984, prior_entropy: 1.2149, recall: 0.7984, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9556, kappa: 0.8898, kb_relative_information_score: 781.4722, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9563, predictive_accuracy: 0.9555, prior_entropy: 1.2149, recall: 0.9555, relative_absolute_error: 0.1183, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1191, root_relative_squared_error: 0.4613, scimark_benchmark: 1455.5869, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 418.9995, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.4074, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.8586, scimark_benchmark: 1557.4283, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9699, kappa: 0.9247, kb_relative_information_score: 815.1859, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.97, predictive_accuracy: 0.9699, prior_entropy: 1.2149, recall: 0.9699, relative_absolute_error: 0.074, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0969, root_relative_squared_error: 0.3752, scimark_benchmark: 1479.5607, usercpu_time_millis: 340, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.9476, kappa: 0.8677, kb_relative_information_score: 747.1415, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9511, predictive_accuracy: 0.9499, prior_entropy: 1.2149, recall: 0.9499, relative_absolute_error: 0.1398, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1288, root_relative_squared_error: 0.4987, scimark_benchmark: 1486.4349, usercpu_time_millis: 660, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 347.4515, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.782, scimark_benchmark: 1544.2148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7197, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 413.4812, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.4099, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.8883, scimark_benchmark: 1445.5447, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9686, kappa: 0.9251, kb_relative_information_score: 736.7506, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9687, predictive_accuracy: 0.9699, prior_entropy: 1.2149, recall: 0.9699, relative_absolute_error: 0.2089, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1034, root_relative_squared_error: 0.4005, scimark_benchmark: 1725.6212, usercpu_time_millis: 340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.975, kappa: 0.9371, kb_relative_information_score: 759.0605, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9756, predictive_accuracy: 0.9755, prior_entropy: 1.2149, recall: 0.9755, relative_absolute_error: 0.1794, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3778, scimark_benchmark: 1695.5771, usercpu_time_millis: 2020, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 1940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5761, f_measure: 0.6581, kappa: -0.0013, kb_relative_information_score: -11.0462, mean_absolute_error: 0.1341, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.58, predictive_accuracy: 0.7606, prior_entropy: 1.2149, recall: 0.7606, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2576, root_relative_squared_error: 0.9976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.578, kappa: 0.007, kb_relative_information_score: -1.5715, mean_absolute_error: 0.1331, mean_prior_absolute_error: 0.1343, number_of_instances: 898, predictive_accuracy: 0.7572, prior_entropy: 1.2149, recall: 0.7572, relative_absolute_error: 0.9909, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5613, kappa: -0.0015, kb_relative_information_score: 12.7695, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.1343, number_of_instances: 898, predictive_accuracy: 0.7606, prior_entropy: 1.2149, recall: 0.7606, relative_absolute_error: 0.9683, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2572, root_relative_squared_error: 0.9962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.8392, kappa: 0.5815, kb_relative_information_score: 396.3648, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8367, predictive_accuracy: 0.8519, prior_entropy: 1.2149, recall: 0.8519, relative_absolute_error: 0.6208, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.7883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.8245, kappa: 0.5181, kb_relative_information_score: 436.8806, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8448, predictive_accuracy: 0.8463, prior_entropy: 1.2149, recall: 0.8463, relative_absolute_error: 0.5986, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.7625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8149, f_measure: 0.7988, kappa: 0.4478, kb_relative_information_score: 313.0806, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8326, predictive_accuracy: 0.8307, prior_entropy: 1.2149, recall: 0.8307, relative_absolute_error: 0.6914, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.8422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5704, f_measure: 0.6587, kb_relative_information_score: 5.7192, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.9728, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.257, root_relative_squared_error: 0.9952,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Problem getting URL, status 404: https://www.openml.org/data/v1/download/10040072/Run_4553145_description.xml?api_key=48830dd663e41d5cb689016a072e6ec1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9836, kappa: 0.9582, kb_relative_information_score: 664.2475, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9839, predictive_accuracy: 0.9833, prior_entropy: 1.2149, recall: 0.9833, relative_absolute_error: 0.3294, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1008, root_relative_squared_error: 0.3904, scimark_benchmark: 1524.2301, usercpu_time_millis: 14040, usercpu_time_millis_training: 14040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.966, kappa: 0.9155, kb_relative_information_score: 783.9223, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9664, predictive_accuracy: 0.9666, prior_entropy: 1.2149, recall: 0.9666, relative_absolute_error: 0.1318, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0915, root_relative_squared_error: 0.3544, scimark_benchmark: 1532.29, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5801, f_measure: 0.6613, kappa: 0.0079, kb_relative_information_score: -519.6721, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6554, predictive_accuracy: 0.7628, prior_entropy: 1.2149, recall: 0.7628, relative_absolute_error: 1.7003, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.239, scimark_benchmark: 1743.5281, usercpu_time_millis: 380, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6587, kb_relative_information_score: -571.7141, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.7255, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3253, root_relative_squared_error: 1.2598, scimark_benchmark: 1821.5401, usercpu_time_millis: 360, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.8994, kappa: 0.7492, kb_relative_information_score: -466.3483, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9081, predictive_accuracy: 0.9042, prior_entropy: 1.2149, recall: 0.9042, relative_absolute_error: 1.6714, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3139, root_relative_squared_error: 1.2155, scimark_benchmark: 1758.799, usercpu_time_millis: 580, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, f_measure: 0.8905, kappa: 0.7316, kb_relative_information_score: -467.3957, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9006, predictive_accuracy: 0.8964, prior_entropy: 1.2149, recall: 0.8964, relative_absolute_error: 1.6728, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3142, root_relative_squared_error: 1.2167, scimark_benchmark: 1773.0193, usercpu_time_millis: 270, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.877, kappa: 0.6987, kb_relative_information_score: -468.6224, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8802, predictive_accuracy: 0.882, prior_entropy: 1.2149, recall: 0.882, relative_absolute_error: 1.6747, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3146, root_relative_squared_error: 1.2185, scimark_benchmark: 1744.038, usercpu_time_millis: 350, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, f_measure: 0.8886, kappa: 0.7298, kb_relative_information_score: -466.2369, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8912, predictive_accuracy: 0.8909, prior_entropy: 1.2149, recall: 0.8909, relative_absolute_error: 1.6734, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3143, root_relative_squared_error: 1.2172, scimark_benchmark: 1530.8378, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.8591, kappa: 0.6565, kb_relative_information_score: -472.3343, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.863, predictive_accuracy: 0.8697, prior_entropy: 1.2149, recall: 0.8697, relative_absolute_error: 1.6769, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3151, root_relative_squared_error: 1.2203, scimark_benchmark: 1681.0583, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6973, f_measure: 0.748, kappa: 0.4017, kb_relative_information_score: -491.3527, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7912, predictive_accuracy: 0.814, prior_entropy: 1.2149, recall: 0.814, relative_absolute_error: 1.6876, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3173, root_relative_squared_error: 1.2289, scimark_benchmark: 1735.5908, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.8629, kappa: 0.6458, kb_relative_information_score: 529.6188, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8647, predictive_accuracy: 0.8675, prior_entropy: 1.2149, recall: 0.8675, relative_absolute_error: 0.4894, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.6714, scimark_benchmark: 1751.5609, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.8136, kappa: 0.5254, kb_relative_information_score: 466.7196, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8102, predictive_accuracy: 0.8419, prior_entropy: 1.2149, recall: 0.8419, relative_absolute_error: 0.5842, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.7306, scimark_benchmark: 1782.4939, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5829, f_measure: 0.7161, kappa: 0.2665, kb_relative_information_score: 180.3493, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6478, predictive_accuracy: 0.8018, prior_entropy: 1.2149, recall: 0.8018, relative_absolute_error: 0.8378, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.919, scimark_benchmark: 1738.0297, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.8852, kappa: 0.7137, kb_relative_information_score: 608.91, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8813, predictive_accuracy: 0.8909, prior_entropy: 1.2149, recall: 0.8909, relative_absolute_error: 0.3972, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1542, root_relative_squared_error: 0.597, scimark_benchmark: 1765.6982, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.8858, kappa: 0.7149, kb_relative_information_score: 592.9207, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8827, predictive_accuracy: 0.8909, prior_entropy: 1.2149, recall: 0.8909, relative_absolute_error: 0.4102, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.6154, scimark_benchmark: 1741.1314, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: 4.1952, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5829, f_measure: 0.7161, kappa: 0.2665, kb_relative_information_score: 180.3493, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6478, predictive_accuracy: 0.8018, prior_entropy: 1.2149, recall: 0.8018, relative_absolute_error: 0.8378, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.919, scimark_benchmark: 1760.6107, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9299, kappa: 0.8247, kb_relative_information_score: 682.4386, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9311, predictive_accuracy: 0.9321, prior_entropy: 1.2149, recall: 0.9321, relative_absolute_error: 0.2813, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1342, root_relative_squared_error: 0.5196, scimark_benchmark: 1788.303, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: 4.1952, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: 4.1952, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: 4.1952, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: 4.1952, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.713, kappa: 0.2475, kb_relative_information_score: 169.1476, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6455, predictive_accuracy: 0.7984, prior_entropy: 1.2149, recall: 0.7984, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5829, f_measure: 0.7161, kappa: 0.2665, kb_relative_information_score: 180.3493, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6478, predictive_accuracy: 0.8018, prior_entropy: 1.2149, recall: 0.8018, relative_absolute_error: 0.8378, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: 4.1952, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.713, kappa: 0.2475, kb_relative_information_score: 169.1476, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6455, predictive_accuracy: 0.7984, prior_entropy: 1.2149, recall: 0.7984, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.713, kappa: 0.2475, kb_relative_information_score: 169.1476, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6455, predictive_accuracy: 0.7984, prior_entropy: 1.2149, recall: 0.7984, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: 4.1952, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: 4.1952, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: 4.1952, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: 4.1952, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: 4.1952, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: 4.1952, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: 4.1952, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.713, kappa: 0.2475, kb_relative_information_score: 169.1476, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6455, predictive_accuracy: 0.7984, prior_entropy: 1.2149, recall: 0.7984, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: 4.1952, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: 4.1952, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5829, f_measure: 0.7161, kappa: 0.2665, kb_relative_information_score: 180.3493, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6478, predictive_accuracy: 0.8018, prior_entropy: 1.2149, recall: 0.8018, relative_absolute_error: 0.8378, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5829, f_measure: 0.7161, kappa: 0.2665, kb_relative_information_score: 180.3493, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6478, predictive_accuracy: 0.8018, prior_entropy: 1.2149, recall: 0.8018, relative_absolute_error: 0.8378, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: 4.1952, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6574, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 284.5896, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.7026, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.8412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: 4.1952, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, 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