Task
Supervised Classification on breast-w

Supervised Classification on breast-w

Task 15 Supervised Classification breast-w 24607 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_70 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9602, kappa: 0.9127, kb_relative_information_score: 634.0569, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9616, predictive_accuracy: 0.9599, prior_entropy: 0.9297, recall: 0.9599, relative_absolute_error: 0.0887, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.4183, usercpu_time_millis: 0.915, usercpu_time_millis_testing: 0.655, usercpu_time_millis_training: 0.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.9147, kappa: 0.8096, kb_relative_information_score: 562.5512, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9154, predictive_accuracy: 0.9156, prior_entropy: 0.9297, recall: 0.9156, relative_absolute_error: 0.1868, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.6113, scimark_benchmark: 1454.8552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.953, kappa: 0.8964, kb_relative_information_score: 605.4634, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9535, predictive_accuracy: 0.9528, prior_entropy: 0.9297, recall: 0.9528, relative_absolute_error: 0.1384, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.4399, scimark_benchmark: 1706.9523, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.9327, kappa: 0.8507, kb_relative_information_score: 587.6449, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9326, predictive_accuracy: 0.9328, prior_entropy: 0.9297, recall: 0.9328, relative_absolute_error: 0.1531, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.5467, scimark_benchmark: 1732.8012, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.97, kappa: 0.9338, kb_relative_information_score: 611.709, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9702, predictive_accuracy: 0.97, prior_entropy: 0.9297, recall: 0.97, relative_absolute_error: 0.1347, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.3501, scimark_benchmark: 1451.1801, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9557, kappa: 0.9021, kb_relative_information_score: 590.7581, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9558, predictive_accuracy: 0.9557, prior_entropy: 0.9297, recall: 0.9557, relative_absolute_error: 0.1678, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.4238, scimark_benchmark: 1495.1161, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9616, kappa: 0.9158, kb_relative_information_score: 636.2096, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9628, predictive_accuracy: 0.9614, prior_entropy: 0.9297, recall: 0.9614, relative_absolute_error: 0.0858, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.4104, scimark_benchmark: 1444.358, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9443, kappa: 0.8771, kb_relative_information_score: 599.9492, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9446, predictive_accuracy: 0.9442, prior_entropy: 0.9297, recall: 0.9442, relative_absolute_error: 0.14, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.4574, scimark_benchmark: 1593.5506, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.97, kappa: 0.9338, kb_relative_information_score: 611.7509, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9702, predictive_accuracy: 0.97, prior_entropy: 0.9297, recall: 0.97, relative_absolute_error: 0.1347, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.3499, scimark_benchmark: 1431.3203, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.9458, kappa: 0.8806, kb_relative_information_score: 593.6566, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9463, predictive_accuracy: 0.9456, prior_entropy: 0.9297, recall: 0.9456, relative_absolute_error: 0.1546, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.4638, scimark_benchmark: 1599.8549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9515, kappa: 0.893, kb_relative_information_score: 590.2138, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9518, predictive_accuracy: 0.9514, prior_entropy: 0.9297, recall: 0.9514, relative_absolute_error: 0.1664, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.4414, scimark_benchmark: 1600.8972, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.5187, kb_relative_information_score: -0.1304, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.4293, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4753, root_relative_squared_error: 1, scimark_benchmark: 1645.3254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.9327, kappa: 0.8507, kb_relative_information_score: 587.6449, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9326, predictive_accuracy: 0.9328, prior_entropy: 0.9297, recall: 0.9328, relative_absolute_error: 0.1531, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.5467, scimark_benchmark: 1551.2165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.9327, kappa: 0.8507, kb_relative_information_score: 587.6449, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9326, predictive_accuracy: 0.9328, prior_entropy: 0.9297, recall: 0.9328, relative_absolute_error: 0.1531, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.5467, scimark_benchmark: 1633.2253, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.9513, kappa: 0.8919, kb_relative_information_score: 597.6256, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9512, predictive_accuracy: 0.9514, prior_entropy: 0.9297, recall: 0.9514, relative_absolute_error: 0.1528, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.4338, scimark_benchmark: 1660.5344, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.9672, kappa: 0.9275, kb_relative_information_score: 645.6205, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9674, predictive_accuracy: 0.9671, prior_entropy: 0.9297, recall: 0.9671, relative_absolute_error: 0.0728, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.3816, scimark_benchmark: 1626.2703, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9657, kappa: 0.924, kb_relative_information_score: 625.4501, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9297, recall: 0.9657, relative_absolute_error: 0.11, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.3441, scimark_benchmark: 1387.5846, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.9614, kappa: 0.9146, kb_relative_information_score: 636.3906, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9614, predictive_accuracy: 0.9614, prior_entropy: 0.9297, recall: 0.9614, relative_absolute_error: 0.0855, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.4135, scimark_benchmark: 1349.3836, usercpu_time_millis: 80, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, f_measure: 0.8755, kappa: 0.7181, kb_relative_information_score: -87.9925, mean_absolute_error: 0.4815, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.8915, predictive_accuracy: 0.8813, prior_entropy: 0.9297, recall: 0.8813, relative_absolute_error: 1.0654, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4832, root_relative_squared_error: 1.0167, scimark_benchmark: 1493.1724, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.9431, kappa: 0.8748, kb_relative_information_score: 606.3933, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.944, predictive_accuracy: 0.9428, prior_entropy: 0.9297, recall: 0.9428, relative_absolute_error: 0.1266, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.5033, scimark_benchmark: 1481.3624, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.8769, kappa: 0.7212, kb_relative_information_score: 509.4792, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.8936, predictive_accuracy: 0.8827, prior_entropy: 0.9297, recall: 0.8827, relative_absolute_error: 0.2596, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.3425, root_relative_squared_error: 0.7206, scimark_benchmark: 1469.4589, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.95, kappa: 0.8895, kb_relative_information_score: 620.4078, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9501, predictive_accuracy: 0.9499, prior_entropy: 0.9297, recall: 0.9499, relative_absolute_error: 0.1079, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.4199, scimark_benchmark: 1408.585, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9442, kappa: 0.8766, kb_relative_information_score: 574.1488, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9443, predictive_accuracy: 0.9442, prior_entropy: 0.9297, recall: 0.9442, relative_absolute_error: 0.1894, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.4235, scimark_benchmark: 1506.0342, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9418, f_measure: 0.932, kappa: 0.8515, kb_relative_information_score: 531.6108, mean_absolute_error: 0.1178, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.935, predictive_accuracy: 0.9313, prior_entropy: 0.9297, recall: 0.9313, relative_absolute_error: 0.2607, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2463, root_relative_squared_error: 0.5182, scimark_benchmark: 1431.254, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9513, kappa: 0.8921, kb_relative_information_score: 608.2088, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9513, predictive_accuracy: 0.9514, prior_entropy: 0.9297, recall: 0.9514, relative_absolute_error: 0.1327, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.3994, scimark_benchmark: 1443.095, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9614, kappa: 0.9148, kb_relative_information_score: 601.2791, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9615, predictive_accuracy: 0.9614, prior_entropy: 0.9297, recall: 0.9614, relative_absolute_error: 0.1517, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.3642, scimark_benchmark: 1566.8402, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9513, kappa: 0.8919, kb_relative_information_score: 605.6027, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9512, predictive_accuracy: 0.9514, prior_entropy: 0.9297, recall: 0.9514, relative_absolute_error: 0.1351, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.4177, scimark_benchmark: 1345.0029, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9657, kappa: 0.9242, kb_relative_information_score: 642.4995, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9297, recall: 0.9657, relative_absolute_error: 0.0776, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.3833, scimark_benchmark: 1524.5371, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9528, kappa: 0.8954, kb_relative_information_score: 621.4666, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9527, predictive_accuracy: 0.9528, prior_entropy: 0.9297, recall: 0.9528, relative_absolute_error: 0.1064, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.432, scimark_benchmark: 1361.2405, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9585, kappa: 0.9083, kb_relative_information_score: 595.6603, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9586, predictive_accuracy: 0.9585, prior_entropy: 0.9297, recall: 0.9585, relative_absolute_error: 0.1603, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.3747, scimark_benchmark: 1426.8581, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9658, kappa: 0.9245, kb_relative_information_score: 608.2936, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.966, predictive_accuracy: 0.9657, prior_entropy: 0.9297, recall: 0.9657, relative_absolute_error: 0.1389, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.3706, scimark_benchmark: 1320.0059, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9643, kappa: 0.9212, kb_relative_information_score: 610.5202, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9645, predictive_accuracy: 0.9642, prior_entropy: 0.9297, recall: 0.9642, relative_absolute_error: 0.1351, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.365, scimark_benchmark: 1475.7534, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9379, kappa: 0.8615, kb_relative_information_score: -65.5875, mean_absolute_error: 0.4706, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9386, predictive_accuracy: 0.9385, prior_entropy: 0.9297, recall: 0.9385, relative_absolute_error: 1.0413, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9948, scimark_benchmark: 1646.379, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9442, kappa: 0.8766, kb_relative_information_score: 574.1488, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9443, predictive_accuracy: 0.9442, prior_entropy: 0.9297, recall: 0.9442, relative_absolute_error: 0.1894, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.4235, scimark_benchmark: 1467.961, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9442, kappa: 0.8766, kb_relative_information_score: 574.1488, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9443, predictive_accuracy: 0.9442, prior_entropy: 0.9297, recall: 0.9442, relative_absolute_error: 0.1894, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.4235, scimark_benchmark: 1497.1234, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9442, kappa: 0.8766, kb_relative_information_score: 574.1488, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9443, predictive_accuracy: 0.9442, prior_entropy: 0.9297, recall: 0.9442, relative_absolute_error: 0.1894, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.4235, scimark_benchmark: 1355.4, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9442, kappa: 0.8766, kb_relative_information_score: 574.1488, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9443, predictive_accuracy: 0.9442, prior_entropy: 0.9297, recall: 0.9442, relative_absolute_error: 0.1894, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.4235, scimark_benchmark: 1230.3885, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.9327, kappa: 0.8507, kb_relative_information_score: 590.6824, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9326, predictive_accuracy: 0.9328, prior_entropy: 0.9297, recall: 0.9328, relative_absolute_error: 0.148, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2553, root_relative_squared_error: 0.5372, scimark_benchmark: 1345.4433, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9528, kappa: 0.8954, kb_relative_information_score: 621.4666, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9527, predictive_accuracy: 0.9528, prior_entropy: 0.9297, recall: 0.9528, relative_absolute_error: 0.1064, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.432, scimark_benchmark: 1357.9055, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9261, kappa: 0.8376, kb_relative_information_score: 507.5449, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9273, predictive_accuracy: 0.9256, prior_entropy: 0.9297, recall: 0.9256, relative_absolute_error: 0.3001, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2372, root_relative_squared_error: 0.499, scimark_benchmark: 1480.1823, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9599, kappa: 0.9113, kb_relative_information_score: 630.4408, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9599, predictive_accuracy: 0.9599, prior_entropy: 0.9297, recall: 0.9599, relative_absolute_error: 0.0967, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.3734, scimark_benchmark: 1445.1518, usercpu_time_millis: 420, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9658, kappa: 0.9245, kb_relative_information_score: 608.2936, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.966, predictive_accuracy: 0.9657, prior_entropy: 0.9297, recall: 0.9657, relative_absolute_error: 0.1389, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.3706, scimark_benchmark: 1350.3098, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9643, kappa: 0.9212, kb_relative_information_score: 610.5202, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9645, predictive_accuracy: 0.9642, prior_entropy: 0.9297, recall: 0.9642, relative_absolute_error: 0.1351, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.365, scimark_benchmark: 1400.4048, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.96, kappa: 0.9115, kb_relative_information_score: 615.9437, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.96, predictive_accuracy: 0.9599, prior_entropy: 0.9297, recall: 0.9599, relative_absolute_error: 0.1233, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.3608, scimark_benchmark: 1359.1763, usercpu_time_millis: 1900, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9643, kappa: 0.9209, kb_relative_information_score: 622.1012, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9643, predictive_accuracy: 0.9642, prior_entropy: 0.9297, recall: 0.9642, relative_absolute_error: 0.116, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.341, usercpu_time_millis: 0.307, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 0.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9643, kappa: 0.9209, kb_relative_information_score: 622.1012, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9643, predictive_accuracy: 0.9642, prior_entropy: 0.9297, recall: 0.9642, relative_absolute_error: 0.116, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.341, usercpu_time_millis: 0.435, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 0.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9685, kappa: 0.9303, kb_relative_information_score: 623.3199, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9685, predictive_accuracy: 0.9685, prior_entropy: 0.9297, recall: 0.9685, relative_absolute_error: 0.1136, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.161, root_relative_squared_error: 0.3388, usercpu_time_millis: 0.357, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 0.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9685, kappa: 0.9303, kb_relative_information_score: 623.3199, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9685, predictive_accuracy: 0.9685, prior_entropy: 0.9297, recall: 0.9685, relative_absolute_error: 0.1136, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.161, root_relative_squared_error: 0.3388, usercpu_time_millis: 0.291, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 0.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9628, kappa: 0.9177, kb_relative_information_score: 620.2146, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9628, predictive_accuracy: 0.9628, prior_entropy: 0.9297, recall: 0.9628, relative_absolute_error: 0.1192, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.164, root_relative_squared_error: 0.3451, usercpu_time_millis: 0.296, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 0.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.953, kappa: 0.8964, kb_relative_information_score: 549.1478, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9535, predictive_accuracy: 0.9528, prior_entropy: 0.9297, recall: 0.9528, relative_absolute_error: 0.2419, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.4164, scimark_benchmark: 1519.1649, usercpu_time_millis: 4940, usercpu_time_millis_testing: 4930, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9616, kappa: 0.9158, kb_relative_information_score: 635.4986, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9628, predictive_accuracy: 0.9614, prior_entropy: 0.9297, recall: 0.9614, relative_absolute_error: 0.0868, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.4028, scimark_benchmark: 1400.5534, usercpu_time_millis: 80, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.9231, kappa: 0.828, kb_relative_information_score: 572.7684, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9247, predictive_accuracy: 0.9242, prior_entropy: 0.9297, recall: 0.9242, relative_absolute_error: 0.176, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2434, root_relative_squared_error: 0.512, scimark_benchmark: 1316.4463, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9571, kappa: 0.905, kb_relative_information_score: 606.1942, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9571, predictive_accuracy: 0.9571, prior_entropy: 0.9297, recall: 0.9571, relative_absolute_error: 0.1393, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.3761, scimark_benchmark: 1507.6026, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9616, kappa: 0.9158, kb_relative_information_score: 636.2096, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9628, predictive_accuracy: 0.9614, prior_entropy: 0.9297, recall: 0.9614, relative_absolute_error: 0.0858, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.4104, scimark_benchmark: 1334.1859, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9525, kappa: 0.8944, kb_relative_information_score: 612.1069, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9528, predictive_accuracy: 0.9528, prior_entropy: 0.9297, recall: 0.9528, relative_absolute_error: 0.1259, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.4009, scimark_benchmark: 1511.2106, usercpu_time_millis: 1340, usercpu_time_millis_testing: 1330, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.96, kappa: 0.9115, kb_relative_information_score: 628.5293, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.96, predictive_accuracy: 0.9599, prior_entropy: 0.9297, recall: 0.9599, relative_absolute_error: 0.1001, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.3755, scimark_benchmark: 1416.417, usercpu_time_millis: 203.125, usercpu_time_millis_training: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9225, kappa: 0.832, kb_relative_information_score: 529.7586, mean_absolute_error: 0.1163, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9289, predictive_accuracy: 0.9213, prior_entropy: 0.9297, recall: 0.9213, relative_absolute_error: 0.2573, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2401, root_relative_squared_error: 0.5051, scimark_benchmark: 1363.6503, usercpu_time_millis: 630, usercpu_time_millis_testing: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9573, f_measure: 0.9457, kappa: 0.8799, kb_relative_information_score: 602.2569, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9458, predictive_accuracy: 0.9456, prior_entropy: 0.9297, recall: 0.9456, relative_absolute_error: 0.1377, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.4698, scimark_benchmark: 1329.5517, usercpu_time_millis: 2310, usercpu_time_millis_testing: 2300, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.9471, kappa: 0.8832, kb_relative_information_score: 612.5581, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9473, predictive_accuracy: 0.9471, prior_entropy: 0.9297, recall: 0.9471, relative_absolute_error: 0.1182, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.4802, scimark_benchmark: 1395.7882, usercpu_time_millis: 1160, usercpu_time_millis_testing: 1160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.957, kappa: 0.9044, kb_relative_information_score: 604.7834, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.957, predictive_accuracy: 0.9571, prior_entropy: 0.9297, recall: 0.9571, relative_absolute_error: 0.1427, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.38, scimark_benchmark: 1576.2736, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.5187, kb_relative_information_score: -0.1304, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.4293, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4753, root_relative_squared_error: 1, scimark_benchmark: 1668.582, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9571, kappa: 0.905, kb_relative_information_score: 610.6902, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9571, predictive_accuracy: 0.9571, prior_entropy: 0.9297, recall: 0.9571, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.3897, scimark_benchmark: 1360.7885, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9441, kappa: 0.8759, kb_relative_information_score: 600.2457, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.944, predictive_accuracy: 0.9442, prior_entropy: 0.9297, recall: 0.9442, relative_absolute_error: 0.1434, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.403, scimark_benchmark: 1443.1453, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9629, kappa: 0.9183, kb_relative_information_score: 589.2845, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9634, predictive_accuracy: 0.9628, prior_entropy: 0.9297, recall: 0.9628, relative_absolute_error: 0.177, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.3658, scimark_benchmark: 1406.6983, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9571, kappa: 0.905, kb_relative_information_score: 611.6533, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9571, predictive_accuracy: 0.9571, prior_entropy: 0.9297, recall: 0.9571, relative_absolute_error: 0.1285, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.3888, scimark_benchmark: 1348.9867, usercpu_time_millis: 20, usercpu_time_millis_training: 20,

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