OpenML
Supervised Classification on analcatdata_authorship

Supervised Classification on analcatdata_authorship

Task 3549 Supervised Classification analcatdata_authorship 23487 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5193, kappa: 0.0039, kb_relative_information_score: 1.4897, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3793, prior_entropy: 1.7898, recall: 0.3793, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 819.2949, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7898, recall: 0.9988, relative_absolute_error: 0.0396, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0468, root_relative_squared_error: 0.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9703, kappa: 0.9566, kb_relative_information_score: 696.4201, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9706, predictive_accuracy: 0.9703, prior_entropy: 1.7898, recall: 0.9703, relative_absolute_error: 0.2459, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1506, root_relative_squared_error: 0.3632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9845, kappa: 0.9775, kb_relative_information_score: 206.2314, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9846, predictive_accuracy: 0.9845, prior_entropy: 1.7898, recall: 0.9845, relative_absolute_error: 0.8351, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.8936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 815.2883, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 1.7898, recall: 0.9917, relative_absolute_error: 0.0438, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.1505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.969, kappa: 0.9549, kb_relative_information_score: 735.2616, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9694, predictive_accuracy: 0.9691, prior_entropy: 1.7898, recall: 0.9691, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1288, root_relative_squared_error: 0.3107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9667, kappa: 0.9515, kb_relative_information_score: 737.4154, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9671, predictive_accuracy: 0.9667, prior_entropy: 1.7898, recall: 0.9667, relative_absolute_error: 0.1728, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1305, root_relative_squared_error: 0.3149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8594, f_measure: 0.6668, kappa: 0.5173, kb_relative_information_score: 350.1317, mean_absolute_error: 0.2472, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.6825, predictive_accuracy: 0.6706, prior_entropy: 1.7898, recall: 0.6706, relative_absolute_error: 0.7188, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3353, root_relative_squared_error: 0.8089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9654, kappa: 0.9498, kb_relative_information_score: 758.8743, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9665, predictive_accuracy: 0.9655, prior_entropy: 1.7898, recall: 0.9655, relative_absolute_error: 0.1329, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1225, root_relative_squared_error: 0.2954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9702, kappa: 0.9567, kb_relative_information_score: 688.269, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9706, predictive_accuracy: 0.9703, prior_entropy: 1.7898, recall: 0.9703, relative_absolute_error: 0.2613, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1509, root_relative_squared_error: 0.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.981, kappa: 0.9723, kb_relative_information_score: 802.5064, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.981, predictive_accuracy: 0.981, prior_entropy: 1.7898, recall: 0.981, relative_absolute_error: 0.0626, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.2108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 821.4592, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7898, recall: 0.9976, relative_absolute_error: 0.0349, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0475, root_relative_squared_error: 0.1145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, f_measure: 0.6864, kappa: 0.5558, kb_relative_information_score: 413.4561, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.7044, predictive_accuracy: 0.6861, prior_entropy: 1.7898, recall: 0.6861, relative_absolute_error: 0.6325, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3283, root_relative_squared_error: 0.7919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, kappa: 0.5295, kb_relative_information_score: 248.9883, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.6825, prior_entropy: 1.7898, recall: 0.6825, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9631, kappa: 0.9463, kb_relative_information_score: 755.979, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9639, predictive_accuracy: 0.9631, prior_entropy: 1.7898, recall: 0.9631, relative_absolute_error: 0.1367, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1257, root_relative_squared_error: 0.3033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, kb_relative_information_score: 2.2727, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9666, kappa: 0.9514, kb_relative_information_score: 720.4486, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9669, predictive_accuracy: 0.9667, prior_entropy: 1.7898, recall: 0.9667, relative_absolute_error: 0.2068, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1345, root_relative_squared_error: 0.3246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 821.3166, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0352, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0475, root_relative_squared_error: 0.1145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9928, kappa: 0.9896, kb_relative_information_score: 40.4142, mean_absolute_error: 0.3615, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7898, recall: 0.9929, relative_absolute_error: 1.0511, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4174, root_relative_squared_error: 1.0069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4956, kb_relative_information_score: 1.5426, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9511, kappa: 0.9289, kb_relative_information_score: 768.9376, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9513, predictive_accuracy: 0.9512, prior_entropy: 1.7898, recall: 0.9512, relative_absolute_error: 0.1083, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1263, root_relative_squared_error: 0.3046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9666, kappa: 0.9514, kb_relative_information_score: 686.9901, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.967, predictive_accuracy: 0.9667, prior_entropy: 1.7898, recall: 0.9667, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.155, root_relative_squared_error: 0.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9762, kappa: 0.9654, kb_relative_information_score: 53.2459, mean_absolute_error: 0.3566, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9764, predictive_accuracy: 0.9762, prior_entropy: 1.7898, recall: 0.9762, relative_absolute_error: 1.037, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.412, root_relative_squared_error: 0.9937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9666, kappa: 0.9515, kb_relative_information_score: 729.5219, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9671, predictive_accuracy: 0.9667, prior_entropy: 1.7898, recall: 0.9667, relative_absolute_error: 0.1909, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1301, root_relative_squared_error: 0.3137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.9441, kappa: 0.9187, kb_relative_information_score: 772.3641, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9442, predictive_accuracy: 0.9441, prior_entropy: 1.7898, recall: 0.9441, relative_absolute_error: 0.0863, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.4007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9798, kappa: 0.9706, kb_relative_information_score: 38.246, mean_absolute_error: 0.3618, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9798, predictive_accuracy: 0.9798, prior_entropy: 1.7898, recall: 0.9798, relative_absolute_error: 1.052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4178, root_relative_squared_error: 1.0078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9462, kappa: 0.9219, kb_relative_information_score: 718.6945, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9468, predictive_accuracy: 0.9465, prior_entropy: 1.7898, recall: 0.9465, relative_absolute_error: 0.1957, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.3615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4906, kb_relative_information_score: 2.1579, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9738, kappa: 0.9619, kb_relative_information_score: 810.3306, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9742, predictive_accuracy: 0.9738, prior_entropy: 1.7898, recall: 0.9738, relative_absolute_error: 0.0372, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1088, root_relative_squared_error: 0.2624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kappa: -0.0017, kb_relative_information_score: 2.6668, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3734, prior_entropy: 1.7898, recall: 0.3734, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kappa: -0.0017, kb_relative_information_score: 0.9338, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3734, prior_entropy: 1.7898, recall: 0.3734, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, kappa: 0.0011, kb_relative_information_score: 2.8592, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3627, prior_entropy: 1.7898, recall: 0.3627, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 820.945, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0358, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0486, root_relative_squared_error: 0.1172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6558, kappa: 0.1648, kb_relative_information_score: 147.2878, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.4376, prior_entropy: 1.7898, recall: 0.4376, relative_absolute_error: 0.9168, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.9884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.969, kappa: 0.9549, kb_relative_information_score: 654.7695, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9693, predictive_accuracy: 0.9691, prior_entropy: 1.7898, recall: 0.9691, relative_absolute_error: 0.3191, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9475, kappa: 0.9236, kb_relative_information_score: 716.5119, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.948, predictive_accuracy: 0.9477, prior_entropy: 1.7898, recall: 0.9477, relative_absolute_error: 0.2005, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1511, root_relative_squared_error: 0.3645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 820.2566, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0503, root_relative_squared_error: 0.1212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9582, kappa: 0.9394, kb_relative_information_score: 773.4488, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9593, predictive_accuracy: 0.9584, prior_entropy: 1.7898, recall: 0.9584, relative_absolute_error: 0.1025, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1229, root_relative_squared_error: 0.2965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9798, kappa: 0.9705, kb_relative_information_score: 16.0471, mean_absolute_error: 0.3704, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9799, predictive_accuracy: 0.9798, prior_entropy: 1.7898, recall: 0.9798, relative_absolute_error: 1.0772, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4277, root_relative_squared_error: 1.0318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9822, kappa: 0.974, kb_relative_information_score: 756.3303, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9823, predictive_accuracy: 0.9822, prior_entropy: 1.7898, recall: 0.9822, relative_absolute_error: 0.1469, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1092, root_relative_squared_error: 0.2635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 821.3688, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0352, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0477, root_relative_squared_error: 0.1151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.9452, kappa: 0.9203, kb_relative_information_score: 76.955, mean_absolute_error: 0.3475, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9452, predictive_accuracy: 0.9453, prior_entropy: 1.7898, recall: 0.9453, relative_absolute_error: 1.0105, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.9687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.981, kappa: 0.9723, kb_relative_information_score: 725.0684, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9811, predictive_accuracy: 0.981, prior_entropy: 1.7898, recall: 0.981, relative_absolute_error: 0.1999, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.3269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.8936, kappa: 0.8455, kb_relative_information_score: 696.6705, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8951, predictive_accuracy: 0.8942, prior_entropy: 1.7898, recall: 0.8942, relative_absolute_error: 0.2061, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.4431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9762, kappa: 0.9653, kb_relative_information_score: 803.5143, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9765, predictive_accuracy: 0.9762, prior_entropy: 1.7898, recall: 0.9762, relative_absolute_error: 0.0484, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0997, root_relative_squared_error: 0.2405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9773, kappa: 0.9671, kb_relative_information_score: 710.9333, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9775, predictive_accuracy: 0.9774, prior_entropy: 1.7898, recall: 0.9774, relative_absolute_error: 0.227, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1354, root_relative_squared_error: 0.3266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9869, kappa: 0.981, kb_relative_information_score: 747.2515, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.987, predictive_accuracy: 0.9869, prior_entropy: 1.7898, recall: 0.9869, relative_absolute_error: 0.1672, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.111, root_relative_squared_error: 0.2678,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, build_cpu_time: 10.7038, build_memory: 919139960.1522, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 830.4333, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7898, recall: 0.9929, relative_absolute_error: 0.0104, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0597, root_relative_squared_error: 0.1441, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9559, kappa: 0.9359, kb_relative_information_score: 783.2482, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.956, predictive_accuracy: 0.956, prior_entropy: 1.7898, recall: 0.956, relative_absolute_error: 0.0745, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1479, root_relative_squared_error: 0.3567, scimark_benchmark: 1079.0849, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 832.5262, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0126, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0487, root_relative_squared_error: 0.1175, scimark_benchmark: 1090.6287, usercpu_time_millis: 600, usercpu_time_millis_testing: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9248, kappa: 0.8907, kb_relative_information_score: 726.6458, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9254, predictive_accuracy: 0.9251, prior_entropy: 1.7898, recall: 0.9251, relative_absolute_error: 0.1537, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.4368, scimark_benchmark: 1068.0338, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 729.1565, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 1.7898, recall: 0.9917, relative_absolute_error: 0.2031, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1182, root_relative_squared_error: 0.2851, scimark_benchmark: 1127.2706, usercpu_time_millis: 320, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9857, kappa: 0.9792, kb_relative_information_score: 821.163, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9858, predictive_accuracy: 0.9857, prior_entropy: 1.7898, recall: 0.9857, relative_absolute_error: 0.0216, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0836, root_relative_squared_error: 0.2016, scimark_benchmark: 1124.3632, usercpu_time_millis: 510, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.9405, kappa: 0.9136, kb_relative_information_score: 765.1526, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9407, predictive_accuracy: 0.9405, prior_entropy: 1.7898, recall: 0.9405, relative_absolute_error: 0.1016, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.4081, scimark_benchmark: 1118.7909, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9893, kappa: 0.9844, kb_relative_information_score: 828.9061, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 1.7898, recall: 0.9893, relative_absolute_error: 0.0154, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0702, root_relative_squared_error: 0.1694, scimark_benchmark: 1194.5461, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9905, kappa: 0.9862, kb_relative_information_score: 828.8998, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7898, recall: 0.9905, relative_absolute_error: 0.0138, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0658, root_relative_squared_error: 0.1587, scimark_benchmark: 1275.9768, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9905, kappa: 0.9862, kb_relative_information_score: 827.8226, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7898, recall: 0.9905, relative_absolute_error: 0.0195, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0688, root_relative_squared_error: 0.166, scimark_benchmark: 1335.0825, usercpu_time_millis: 370, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 830.4899, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 1.7898, recall: 0.9917, relative_absolute_error: 0.0131, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0647, root_relative_squared_error: 0.1561, scimark_benchmark: 1354.1059, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 732.8726, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 1.7898, recall: 0.9917, relative_absolute_error: 0.1965, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1159, root_relative_squared_error: 0.2797, scimark_benchmark: 546.5859, usercpu_time_millis: 480, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 440,

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