OpenML
Supervised Classification on analcatdata_authorship

Supervised Classification on analcatdata_authorship

Task 3549 Supervised Classification analcatdata_authorship 20597 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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20597 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9702, kappa: 0.9567, kb_relative_information_score: 744.684, mean_absolute_error: 0.056, 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: 0.1629, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1239, root_relative_squared_error: 0.299,
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: 0.9975, f_measure: 0.9595, kappa: 0.9411, kb_relative_information_score: 716.0321, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9601, predictive_accuracy: 0.9596, prior_entropy: 1.7898, recall: 0.9596, relative_absolute_error: 0.2076, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1433, root_relative_squared_error: 0.3457,
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: 0.9974, f_measure: 0.9595, kappa: 0.9411, kb_relative_information_score: 735.3314, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.96, predictive_accuracy: 0.9596, prior_entropy: 1.7898, recall: 0.9596, relative_absolute_error: 0.1736, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1347, root_relative_squared_error: 0.3249,
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: 0.999, f_measure: 0.9762, kappa: 0.9653, kb_relative_information_score: 736.0552, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9763, predictive_accuracy: 0.9762, prior_entropy: 1.7898, recall: 0.9762, relative_absolute_error: 0.1812, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1237, root_relative_squared_error: 0.2983,
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: 0.9998, f_measure: 0.9881, kappa: 0.9827, kb_relative_information_score: 742.8666, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9882, predictive_accuracy: 0.9881, prior_entropy: 1.7898, recall: 0.9881, relative_absolute_error: 0.176, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.113, root_relative_squared_error: 0.2725,
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: 0.9979, f_measure: 0.9666, kappa: 0.9514, kb_relative_information_score: 723.7348, mean_absolute_error: 0.0676, 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: 0.1965, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9643, kappa: 0.948, kb_relative_information_score: 742.0755, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9649, predictive_accuracy: 0.9643, prior_entropy: 1.7898, recall: 0.9643, relative_absolute_error: 0.1628, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1315, root_relative_squared_error: 0.3172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9738, kappa: 0.9619, kb_relative_information_score: 748.9534, mean_absolute_error: 0.0537, 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: 0.1563, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1184, root_relative_squared_error: 0.2856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9869, kappa: 0.9809, kb_relative_information_score: 728.2384, mean_absolute_error: 0.0696, 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: 0.2023, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.2905,
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: 0.9826, f_measure: 0.9798, kappa: 0.9706, kb_relative_information_score: 71.4603, mean_absolute_error: 0.3497, 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: 1.0169, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.9743,
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: 0.9985, f_measure: 0.969, kappa: 0.9549, kb_relative_information_score: 703.3767, mean_absolute_error: 0.0805, 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: 0.2341, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1443, root_relative_squared_error: 0.3481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9403, kappa: 0.9132, kb_relative_information_score: 726.4238, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9406, predictive_accuracy: 0.9405, prior_entropy: 1.7898, recall: 0.9405, relative_absolute_error: 0.1802, 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: 0.9974, 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: 0.9972, f_measure: 0.9582, kappa: 0.9392, kb_relative_information_score: 697.8077, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9587, predictive_accuracy: 0.9584, prior_entropy: 1.7898, recall: 0.9584, relative_absolute_error: 0.2388, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.3662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.963, kappa: 0.9462, kb_relative_information_score: 710.7632, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9635, predictive_accuracy: 0.9631, prior_entropy: 1.7898, recall: 0.9631, relative_absolute_error: 0.2187, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.144, root_relative_squared_error: 0.3472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9798, kappa: 0.9706, kb_relative_information_score: 744.931, mean_absolute_error: 0.0577, 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: 0.1679, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1164, root_relative_squared_error: 0.2807,
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: 0.9914, f_measure: 0.9463, kappa: 0.9221, kb_relative_information_score: 750.8721, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.947, predictive_accuracy: 0.9465, prior_entropy: 1.7898, recall: 0.9465, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1504, root_relative_squared_error: 0.3627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9475, kappa: 0.9236, kb_relative_information_score: 696.5986, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9483, predictive_accuracy: 0.9477, prior_entropy: 1.7898, recall: 0.9477, relative_absolute_error: 0.2361, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.157, root_relative_squared_error: 0.3787,
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: 0.999, f_measure: 0.9797, kappa: 0.9705, kb_relative_information_score: 720.9354, mean_absolute_error: 0.0715, 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: 0.2079, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1328, root_relative_squared_error: 0.3202,
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: 0.9591, f_measure: 0.9429, kappa: 0.917, kb_relative_information_score: 86.9625, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.943, predictive_accuracy: 0.9429, prior_entropy: 1.7898, recall: 0.9429, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.9583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9463, kappa: 0.9221, kb_relative_information_score: 749.4943, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.947, predictive_accuracy: 0.9465, prior_entropy: 1.7898, recall: 0.9465, relative_absolute_error: 0.1392, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.3439,
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: 0.9994, f_measure: 0.9845, kappa: 0.9775, kb_relative_information_score: 648.2091, mean_absolute_error: 0.1139, 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: 0.3312, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.4043,
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: 0.9978, f_measure: 0.9654, kappa: 0.9497, kb_relative_information_score: 715.5294, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9658, predictive_accuracy: 0.9655, prior_entropy: 1.7898, recall: 0.9655, relative_absolute_error: 0.2104, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.3413,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9667, kappa: 0.9517, kb_relative_information_score: 790.953, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9679, predictive_accuracy: 0.9667, prior_entropy: 1.7898, recall: 0.9667, relative_absolute_error: 0.0793, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1121, root_relative_squared_error: 0.2705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9727, kappa: 0.9604, kb_relative_information_score: 794.2466, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9733, predictive_accuracy: 0.9727, prior_entropy: 1.7898, recall: 0.9727, relative_absolute_error: 0.0753, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1027, root_relative_squared_error: 0.2478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9463, kappa: 0.9221, kb_relative_information_score: 751.6507, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9469, predictive_accuracy: 0.9465, prior_entropy: 1.7898, recall: 0.9465, relative_absolute_error: 0.1349, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.3485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9821, kappa: 0.974, kb_relative_information_score: 769.9747, mean_absolute_error: 0.0421, 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: 0.1225, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 819.5908, mean_absolute_error: 0.0134, 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: 0.039, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0464, root_relative_squared_error: 0.1119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9451, kappa: 0.9202, kb_relative_information_score: 711.9684, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9457, predictive_accuracy: 0.9453, prior_entropy: 1.7898, recall: 0.9453, relative_absolute_error: 0.2075, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1528, root_relative_squared_error: 0.3685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 812.365, mean_absolute_error: 0.0155, 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: 0.0451, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0628, root_relative_squared_error: 0.1516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9572, kappa: 0.9376, kb_relative_information_score: 692.2666, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9575, predictive_accuracy: 0.9572, prior_entropy: 1.7898, recall: 0.9572, relative_absolute_error: 0.2488, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.3722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 2.8815, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9982, 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: 0.9973, f_measure: 0.9545, kappa: 0.934, kb_relative_information_score: 689.3873, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9555, predictive_accuracy: 0.9548, prior_entropy: 1.7898, recall: 0.9548, relative_absolute_error: 0.2525, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.3759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kb_relative_information_score: 0.6556, 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: 0.9997, 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: 0.9975, f_measure: 0.9582, kappa: 0.9393, kb_relative_information_score: 716.5456, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9588, predictive_accuracy: 0.9584, prior_entropy: 1.7898, recall: 0.9584, relative_absolute_error: 0.2071, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.3439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9595, kappa: 0.9411, kb_relative_information_score: 709.5644, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9599, predictive_accuracy: 0.9596, prior_entropy: 1.7898, recall: 0.9596, relative_absolute_error: 0.2196, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.3518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9437, kappa: 0.9189, kb_relative_information_score: 593.5741, mean_absolute_error: 0.1331, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9446, predictive_accuracy: 0.9441, prior_entropy: 1.7898, recall: 0.9441, relative_absolute_error: 0.3871, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2338, root_relative_squared_error: 0.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9368, kappa: 0.9083, kb_relative_information_score: 742.2258, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9368, predictive_accuracy: 0.937, prior_entropy: 1.7898, recall: 0.937, relative_absolute_error: 0.1491, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.3647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9738, kappa: 0.9619, kb_relative_information_score: 741.857, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9741, predictive_accuracy: 0.9738, prior_entropy: 1.7898, recall: 0.9738, relative_absolute_error: 0.1674, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.3011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9702, kappa: 0.9567, kb_relative_information_score: 804.8407, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9707, predictive_accuracy: 0.9703, prior_entropy: 1.7898, recall: 0.9703, relative_absolute_error: 0.045, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1195, root_relative_squared_error: 0.2882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9905, kappa: 0.9861, kb_relative_information_score: 515.8148, mean_absolute_error: 0.147, 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: 0.4276, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.6407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9619, kappa: 0.9445, kb_relative_information_score: 718.7032, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9622, predictive_accuracy: 0.962, prior_entropy: 1.7898, recall: 0.962, relative_absolute_error: 0.2029, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.3423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9762, kappa: 0.9654, kb_relative_information_score: 739.9508, mean_absolute_error: 0.06, 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: 0.1744, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.2917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9357, kappa: 0.9065, kb_relative_information_score: 743.8233, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9361, predictive_accuracy: 0.9358, prior_entropy: 1.7898, recall: 0.9358, relative_absolute_error: 0.1442, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.3688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9642, kappa: 0.948, kb_relative_information_score: 746.6217, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9648, predictive_accuracy: 0.9643, prior_entropy: 1.7898, recall: 0.9643, relative_absolute_error: 0.1546, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1276, root_relative_squared_error: 0.3077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9655, kappa: 0.9498, kb_relative_information_score: 750.5245, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9659, predictive_accuracy: 0.9655, prior_entropy: 1.7898, recall: 0.9655, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1242, root_relative_squared_error: 0.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 819.4388, mean_absolute_error: 0.0121, 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: 0.0352, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0519, root_relative_squared_error: 0.1252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9619, kappa: 0.9445, kb_relative_information_score: 724.3025, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9623, predictive_accuracy: 0.962, prior_entropy: 1.7898, recall: 0.962, relative_absolute_error: 0.192, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.3384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9523, kappa: 0.9305, kb_relative_information_score: 700.9104, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9529, predictive_accuracy: 0.9524, prior_entropy: 1.7898, recall: 0.9524, relative_absolute_error: 0.2312, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.3684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9392, kappa: 0.9118, kb_relative_information_score: 733.421, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9396, predictive_accuracy: 0.9394, prior_entropy: 1.7898, recall: 0.9394, relative_absolute_error: 0.1661, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1531, root_relative_squared_error: 0.3692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5706, kappa: 0.0243, kb_relative_information_score: 104.2009, mean_absolute_error: 0.3525, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3092, prior_entropy: 1.7898, recall: 0.3092, relative_absolute_error: 1.0251, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4484, root_relative_squared_error: 1.0816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 819.6326, mean_absolute_error: 0.013, 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: 0.0379, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0515, root_relative_squared_error: 0.1243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9642, kappa: 0.948, kb_relative_information_score: 761.733, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.965, predictive_accuracy: 0.9643, prior_entropy: 1.7898, recall: 0.9643, relative_absolute_error: 0.1269, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1223, root_relative_squared_error: 0.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 819.6022, mean_absolute_error: 0.0134, 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: 0.039, 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: 0.9969, f_measure: 0.9702, kappa: 0.9567, kb_relative_information_score: 767.8499, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9707, predictive_accuracy: 0.9703, prior_entropy: 1.7898, recall: 0.9703, relative_absolute_error: 0.1167, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1163, root_relative_squared_error: 0.2805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9703, kappa: 0.9569, kb_relative_information_score: 743.78, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9707, predictive_accuracy: 0.9703, prior_entropy: 1.7898, recall: 0.9703, relative_absolute_error: 0.1614, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1429, root_relative_squared_error: 0.3448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9714, kappa: 0.9584, kb_relative_information_score: 738.3493, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9719, predictive_accuracy: 0.9715, prior_entropy: 1.7898, recall: 0.9715, relative_absolute_error: 0.1736, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1267, root_relative_squared_error: 0.3055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9654, kappa: 0.9497, kb_relative_information_score: 689.2782, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9657, predictive_accuracy: 0.9655, prior_entropy: 1.7898, recall: 0.9655, relative_absolute_error: 0.2583, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.3672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.963, kappa: 0.9463, kb_relative_information_score: 710.5185, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9635, predictive_accuracy: 0.9631, prior_entropy: 1.7898, recall: 0.9631, relative_absolute_error: 0.2191, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.3471,

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

OpenML APIs