OpenML
Supervised Classification on iris

Supervised Classification on iris

Task 59 Supervised Classification iris 4584 runs submitted
0 likes downloaded by 24 people , 49 total downloads 0 issues
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  • basic study_1 study_41 study_50 study_7 study_89 testsuite under100k under1m
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4584 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9536, kappa: 0.93, kb_relative_information_score: 136.1717, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9542, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1084, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.3778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9265, kappa: 0.89, kb_relative_information_score: 130.5762, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9293, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.1562, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.4164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 129.4287, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1802, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.3553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 128.5736, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1851, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.173, root_relative_squared_error: 0.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 135.8727, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1267, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1253, root_relative_squared_error: 0.2659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9331, kappa: 0.9, kb_relative_information_score: 132.061, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9372, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.4069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1394, kb_relative_information_score: 2.0694, mean_absolute_error: 0.4462, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4746, root_relative_squared_error: 1.0068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6943, kappa: 0.11, kb_relative_information_score: 0.2281, mean_absolute_error: 0.4441, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.4067, prior_entropy: 1.585, recall: 0.4067, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.471, root_relative_squared_error: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1043, kb_relative_information_score: 1.066, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.92, kappa: 0.88, kb_relative_information_score: 127.4632, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.92, predictive_accuracy: 0.92, prior_entropy: 1.585, recall: 0.92, relative_absolute_error: 0.1927, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1845, root_relative_squared_error: 0.3913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 134.9792, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9678, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1504, root_relative_squared_error: 0.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, kappa: 0.5, kb_relative_information_score: 44.7115, mean_absolute_error: 0.3521, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.7922, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.8354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.4249, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.145, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.3956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9267, kappa: 0.89, kb_relative_information_score: 127.4465, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9268, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.1901, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.4018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 131.6222, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1496, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.4069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9329, kappa: 0.9, kb_relative_information_score: 91.2084, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9403, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.4826, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.304, root_relative_squared_error: 0.6448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 131.8631, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1482, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9265, kappa: 0.89, kb_relative_information_score: 130.5047, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9293, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.1561, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 132.3386, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1453, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 131.7343, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9471, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1489, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.4058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, kappa: 0.5, kb_relative_information_score: 86.907, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.7071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 135.8928, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1276, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1267, root_relative_squared_error: 0.2687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 133.6875, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1439, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.145, root_relative_squared_error: 0.3076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7313, f_measure: 0.5817, kappa: 0.37, kb_relative_information_score: 29.9409, mean_absolute_error: 0.3854, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.5965, predictive_accuracy: 0.58, prior_entropy: 1.585, recall: 0.58, relative_absolute_error: 0.8671, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.447, root_relative_squared_error: 0.9482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 133.6454, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9544, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1348, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.3853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.88, kappa: 0.82, kb_relative_information_score: 114.9696, mean_absolute_error: 0.1314, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8803, predictive_accuracy: 0.88, prior_entropy: 1.585, recall: 0.88, relative_absolute_error: 0.2956, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.225, root_relative_squared_error: 0.4772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 130.8076, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.941, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 132.3628, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.941, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.3963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1369, kb_relative_information_score: 2.2246, mean_absolute_error: 0.4447, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4726, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 133.0566, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9544, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1402, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.3886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7945, f_measure: 0.486, kappa: 0.24, kb_relative_information_score: 53.6947, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.4793, predictive_accuracy: 0.4933, prior_entropy: 1.585, recall: 0.4933, relative_absolute_error: 0.7477, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.8097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 132.6231, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9544, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1443, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.3869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 137.0124, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9619, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1182, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.118, root_relative_squared_error: 0.2504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 136.1165, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9678, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1254, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1267, root_relative_squared_error: 0.2687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 131.2797, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1525, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.4119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 133.0211, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1387, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.3973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0882, kb_relative_information_score: -0.3114, mean_absolute_error: 0.4481, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0083, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 135.9451, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1285, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1237, root_relative_squared_error: 0.2623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 136.3484, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9619, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1229, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1229, root_relative_squared_error: 0.2606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 131.2008, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.941, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1531, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.4113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.7443, kappa: 0.62, kb_relative_information_score: 85.1394, mean_absolute_error: 0.2269, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.7456, predictive_accuracy: 0.7467, prior_entropy: 1.585, recall: 0.7467, relative_absolute_error: 0.5104, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3325, root_relative_squared_error: 0.7054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.0842, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.0843, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 131.2104, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9599, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.168, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1488, root_relative_squared_error: 0.3157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 129.4888, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1673, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.196, root_relative_squared_error: 0.4158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, kb_relative_information_score: -0.0151, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4715, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9535, kappa: 0.93, kb_relative_information_score: 129.6205, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.954, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.174, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.3491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.9182, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4715, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.3887, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 135.8629, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1246, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1347, root_relative_squared_error: 0.2857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 135.6699, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1271, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.2823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9536, kappa: 0.93, kb_relative_information_score: 128.4845, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9547, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1839, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.3639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 132.1687, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1453, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.189, root_relative_squared_error: 0.4009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 122.8783, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.2345, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.4153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 127.3259, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.2016, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.3551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9071, kappa: 0.86, kb_relative_information_score: 96.6044, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9218, predictive_accuracy: 0.9067, prior_entropy: 1.585, recall: 0.9067, relative_absolute_error: 0.4484, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2748, root_relative_squared_error: 0.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 128.4564, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9471, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1857, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.9498, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1391, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.4003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.8977, kappa: 0.85, kb_relative_information_score: 92.9931, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9231, predictive_accuracy: 0.9, prior_entropy: 1.585, recall: 0.9, relative_absolute_error: 0.471, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.6326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1075, kappa: -0.49, kb_relative_information_score: -0.9331, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.0067, prior_entropy: 1.585, recall: 0.0067, relative_absolute_error: 1.0075, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.475, root_relative_squared_error: 1.0076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9535, kappa: 0.93, kb_relative_information_score: 128.2783, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9539, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1943, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.3417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9, kappa: 0.85, kb_relative_information_score: 121.1132, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9001, predictive_accuracy: 0.9, prior_entropy: 1.585, recall: 0.9, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.209, root_relative_squared_error: 0.4433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9265, kappa: 0.89, kb_relative_information_score: 130.8513, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9293, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.1543, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.4082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2945, kappa: -0.5, kb_relative_information_score: -0.3758, mean_absolute_error: 0.4457, mean_prior_absolute_error: 0.4444, number_of_instances: 150, prior_entropy: 1.585, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4727, root_relative_squared_error: 1.0028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.5088, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1427, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9333, kappa: 0.9, kb_relative_information_score: 123.8331, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9333, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.2247, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.4133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.7126, kappa: 0.57, kb_relative_information_score: 84.3534, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.7138, predictive_accuracy: 0.7133, prior_entropy: 1.585, recall: 0.7133, relative_absolute_error: 0.5209, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.7076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 129.3584, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1798, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.3548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 131.2791, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.941, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1527, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.4096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 130.6866, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1598, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.194, root_relative_squared_error: 0.4115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.5937, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.145, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.3948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.0612, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1693, kb_relative_information_score: -0.1975, mean_absolute_error: 0.4463, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0042, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4735, root_relative_squared_error: 1.0044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0863, kappa: -0.5, kb_relative_information_score: -0.7731, mean_absolute_error: 0.447, mean_prior_absolute_error: 0.4444, number_of_instances: 150, prior_entropy: 1.585, relative_absolute_error: 1.0057, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4741, root_relative_squared_error: 1.0057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 135.9295, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9678, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1267, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.127, root_relative_squared_error: 0.2693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, kappa: 0.5, kb_relative_information_score: 86.907, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.7071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0801, kb_relative_information_score: 0.6137, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.472, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 136.0217, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9619, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1238, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1264, root_relative_squared_error: 0.2681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 134.6803, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1356, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.2918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 135.2228, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9544, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1299, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1313, root_relative_squared_error: 0.2786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 136.9603, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9801, predictive_accuracy: 0.98, prior_entropy: 1.585, recall: 0.98, relative_absolute_error: 0.1191, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1221, root_relative_squared_error: 0.2591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9535, kappa: 0.93, kb_relative_information_score: 124.8738, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9539, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.2201, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.3834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.2683, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1442, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.4087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 135.788, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1281, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1333, root_relative_squared_error: 0.2828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 131.653, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.151, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.4056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9265, kappa: 0.89, kb_relative_information_score: 132.1443, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9293, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.1441, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.4032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 135.402, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1325, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1269, root_relative_squared_error: 0.2692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 90.8539, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.52, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.288, root_relative_squared_error: 0.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.82, kappa: 0.73, kb_relative_information_score: 99.9183, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8201, predictive_accuracy: 0.82, prior_entropy: 1.585, recall: 0.82, relative_absolute_error: 0.4072, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2923, root_relative_squared_error: 0.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1379, kb_relative_information_score: 0.6418, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.472, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9464, kappa: 0.92, kb_relative_information_score: 131.061, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9465, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1697, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.3151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 134.5334, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1401, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1312, root_relative_squared_error: 0.2783,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs