Task
Supervised Classification on labor

Supervised Classification on labor

Task 1768 Supervised Classification labor 355 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8706, kappa: 0.717, kb_relative_information_score: 184.4723, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8712, predictive_accuracy: 0.8702, prior_entropy: 0.9393, recall: 0.8702, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6571, scimark_benchmark: 1375.1578, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8706, kappa: 0.717, kb_relative_information_score: 184.4723, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8712, predictive_accuracy: 0.8702, prior_entropy: 0.9393, recall: 0.8702, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6571, scimark_benchmark: 1365.0842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.881, kappa: 0.7393, kb_relative_information_score: 191.7119, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8813, predictive_accuracy: 0.8807, prior_entropy: 0.9393, recall: 0.8807, relative_absolute_error: 0.3321, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.626, scimark_benchmark: 1348.2804, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.819, kappa: 0.5989, kb_relative_information_score: 136.5126, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8186, predictive_accuracy: 0.8211, prior_entropy: 0.9393, recall: 0.8211, relative_absolute_error: 0.5398, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7433, scimark_benchmark: 1337.8124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8706, kappa: 0.717, kb_relative_information_score: 184.4723, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8712, predictive_accuracy: 0.8702, prior_entropy: 0.9393, recall: 0.8702, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6571, scimark_benchmark: 1338.0691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.881, kappa: 0.7393, kb_relative_information_score: 191.7119, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8813, predictive_accuracy: 0.8807, prior_entropy: 0.9393, recall: 0.8807, relative_absolute_error: 0.3321, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.626, scimark_benchmark: 1356.4396, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.8325, kappa: 0.625, kb_relative_information_score: 135.0707, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8405, predictive_accuracy: 0.8386, prior_entropy: 0.9393, recall: 0.8386, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.6942, scimark_benchmark: 1267.7714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.8642, kappa: 0.7043, kb_relative_information_score: 174.8502, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8662, predictive_accuracy: 0.8632, prior_entropy: 0.9393, recall: 0.8632, relative_absolute_error: 0.3918, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.6742, scimark_benchmark: 1360.8502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.7623, kappa: 0.4697, kb_relative_information_score: 93.8946, mean_absolute_error: 0.3114, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.763, predictive_accuracy: 0.7684, prior_entropy: 0.9393, recall: 0.7684, relative_absolute_error: 0.6813, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.9158, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.8961, kappa: 0.7686, kb_relative_information_score: 218.0758, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8997, predictive_accuracy: 0.8982, prior_entropy: 0.9393, recall: 0.8982, relative_absolute_error: 0.2226, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.319, root_relative_squared_error: 0.6684, scimark_benchmark: 1375.1578, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.8325, kappa: 0.625, kb_relative_information_score: 135.0707, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8405, predictive_accuracy: 0.8386, prior_entropy: 0.9393, recall: 0.8386, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.6942, scimark_benchmark: 1347.993, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8706, kappa: 0.717, kb_relative_information_score: 184.4723, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8712, predictive_accuracy: 0.8702, prior_entropy: 0.9393, recall: 0.8702, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6571, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.881, kappa: 0.7393, kb_relative_information_score: 191.7119, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8813, predictive_accuracy: 0.8807, prior_entropy: 0.9393, recall: 0.8807, relative_absolute_error: 0.3321, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.626, scimark_benchmark: 1278.6629, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.8325, kappa: 0.625, kb_relative_information_score: 135.0707, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8405, predictive_accuracy: 0.8386, prior_entropy: 0.9393, recall: 0.8386, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.6942, scimark_benchmark: 1322.7257, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.9013, kappa: 0.7823, kb_relative_information_score: 202.3928, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.9012, predictive_accuracy: 0.9018, prior_entropy: 0.9393, recall: 0.9018, relative_absolute_error: 0.292, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.6128, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9007, kappa: 0.7803, kb_relative_information_score: 182.8746, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.9013, predictive_accuracy: 0.9018, prior_entropy: 0.9393, recall: 0.9018, relative_absolute_error: 0.385, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2686, root_relative_squared_error: 0.5627, scimark_benchmark: 1320.9387, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.819, kappa: 0.5989, kb_relative_information_score: 136.5126, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8186, predictive_accuracy: 0.8211, prior_entropy: 0.9393, recall: 0.8211, relative_absolute_error: 0.5398, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7433, scimark_benchmark: 1350.2369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.9013, kappa: 0.7823, kb_relative_information_score: 202.3928, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.9012, predictive_accuracy: 0.9018, prior_entropy: 0.9393, recall: 0.9018, relative_absolute_error: 0.292, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.6128, scimark_benchmark: 935.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8706, kappa: 0.717, kb_relative_information_score: 184.4723, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8712, predictive_accuracy: 0.8702, prior_entropy: 0.9393, recall: 0.8702, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6571, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8706, kappa: 0.717, kb_relative_information_score: 184.4723, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8712, predictive_accuracy: 0.8702, prior_entropy: 0.9393, recall: 0.8702, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6571, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8706, kappa: 0.717, kb_relative_information_score: 184.4723, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8712, predictive_accuracy: 0.8702, prior_entropy: 0.9393, recall: 0.8702, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6571, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8706, kappa: 0.717, kb_relative_information_score: 184.4723, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8712, predictive_accuracy: 0.8702, prior_entropy: 0.9393, recall: 0.8702, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6571, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.7935, kappa: 0.5367, kb_relative_information_score: 91.8162, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.805, predictive_accuracy: 0.8035, prior_entropy: 0.9393, recall: 0.8035, relative_absolute_error: 0.7039, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.8169, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.881, kappa: 0.7393, kb_relative_information_score: 191.7119, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8813, predictive_accuracy: 0.8807, prior_entropy: 0.9393, recall: 0.8807, relative_absolute_error: 0.3321, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.626, scimark_benchmark: 1328.1857, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.8091, kappa: 0.5719, kb_relative_information_score: 102.7531, mean_absolute_error: 0.3085, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8196, predictive_accuracy: 0.8175, prior_entropy: 0.9393, recall: 0.8175, relative_absolute_error: 0.6749, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7814, scimark_benchmark: 1293.6566, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.7623, kappa: 0.4697, kb_relative_information_score: 93.8946, mean_absolute_error: 0.3114, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.763, predictive_accuracy: 0.7684, prior_entropy: 0.9393, recall: 0.7684, relative_absolute_error: 0.6813, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.9158, scimark_benchmark: 1371.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.9013, kappa: 0.7823, kb_relative_information_score: 202.3928, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.9012, predictive_accuracy: 0.9018, prior_entropy: 0.9393, recall: 0.9018, relative_absolute_error: 0.292, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.6128, scimark_benchmark: 1347.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8706, kappa: 0.717, kb_relative_information_score: 184.4723, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8712, predictive_accuracy: 0.8702, prior_entropy: 0.9393, recall: 0.8702, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6571, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8706, kappa: 0.717, kb_relative_information_score: 184.4723, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8712, predictive_accuracy: 0.8702, prior_entropy: 0.9393, recall: 0.8702, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6571, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8706, kappa: 0.717, kb_relative_information_score: 184.4723, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8712, predictive_accuracy: 0.8702, prior_entropy: 0.9393, recall: 0.8702, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6571, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8706, kappa: 0.717, kb_relative_information_score: 184.4723, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8712, predictive_accuracy: 0.8702, prior_entropy: 0.9393, recall: 0.8702, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6571, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8706, kappa: 0.717, kb_relative_information_score: 184.4723, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8712, predictive_accuracy: 0.8702, prior_entropy: 0.9393, recall: 0.8702, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6571, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.9013, kappa: 0.7823, kb_relative_information_score: 202.3928, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.9012, predictive_accuracy: 0.9018, prior_entropy: 0.9393, recall: 0.9018, relative_absolute_error: 0.292, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.6128, scimark_benchmark: 1350.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8706, kappa: 0.717, kb_relative_information_score: 184.4723, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8712, predictive_accuracy: 0.8702, prior_entropy: 0.9393, recall: 0.8702, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6571, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8706, kappa: 0.717, kb_relative_information_score: 184.4723, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8712, predictive_accuracy: 0.8702, prior_entropy: 0.9393, recall: 0.8702, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6571, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8706, kappa: 0.717, kb_relative_information_score: 184.4723, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8712, predictive_accuracy: 0.8702, prior_entropy: 0.9393, recall: 0.8702, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6571, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.881, kappa: 0.7393, kb_relative_information_score: 191.7119, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8813, predictive_accuracy: 0.8807, prior_entropy: 0.9393, recall: 0.8807, relative_absolute_error: 0.3321, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.626, scimark_benchmark: 1312.0581, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.7623, kappa: 0.4697, kb_relative_information_score: 93.8946, mean_absolute_error: 0.3114, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.763, predictive_accuracy: 0.7684, prior_entropy: 0.9393, recall: 0.7684, relative_absolute_error: 0.6813, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.9158, scimark_benchmark: 1339.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.8543, kappa: 0.6852, kb_relative_information_score: 188.885, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8591, predictive_accuracy: 0.8526, prior_entropy: 0.9393, recall: 0.8526, relative_absolute_error: 0.3215, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.7749, scimark_benchmark: 1318.6149, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.8344, kappa: 0.6304, kb_relative_information_score: 178.7755, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8378, predictive_accuracy: 0.8386, prior_entropy: 0.9393, recall: 0.8386, relative_absolute_error: 0.3569, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3776, root_relative_squared_error: 0.7911, scimark_benchmark: 1363.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.819, kappa: 0.5989, kb_relative_information_score: 136.5126, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8186, predictive_accuracy: 0.8211, prior_entropy: 0.9393, recall: 0.8211, relative_absolute_error: 0.5398, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7433, scimark_benchmark: 1368.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.814, kappa: 0.5822, kb_relative_information_score: 85.3751, mean_absolute_error: 0.3402, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.833, predictive_accuracy: 0.8246, prior_entropy: 0.9393, recall: 0.8246, relative_absolute_error: 0.7445, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7975, scimark_benchmark: 1363.454, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.8023, kappa: 0.5561, kb_relative_information_score: 82.3979, mean_absolute_error: 0.3442, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8216, predictive_accuracy: 0.814, prior_entropy: 0.9393, recall: 0.814, relative_absolute_error: 0.7531, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3858, root_relative_squared_error: 0.8083, scimark_benchmark: 876.0664, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8459, f_measure: 0.7896, kappa: 0.5274, kb_relative_information_score: 86.0337, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8123, predictive_accuracy: 0.8035, prior_entropy: 0.9393, recall: 0.8035, relative_absolute_error: 0.7319, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.8157, scimark_benchmark: 1301.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.8553, kappa: 0.6805, kb_relative_information_score: 180.2439, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8549, predictive_accuracy: 0.8561, prior_entropy: 0.9393, recall: 0.8561, relative_absolute_error: 0.3626, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3381, root_relative_squared_error: 0.7084, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8728, f_measure: 0.8083, kappa: 0.5698, kb_relative_information_score: 100.0164, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8211, predictive_accuracy: 0.8175, prior_entropy: 0.9393, recall: 0.8175, relative_absolute_error: 0.685, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.781, scimark_benchmark: 924.1296, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8579, f_measure: 0.7968, kappa: 0.5439, kb_relative_information_score: 99.221, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8098, predictive_accuracy: 0.807, prior_entropy: 0.9393, recall: 0.807, relative_absolute_error: 0.6849, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.7909, scimark_benchmark: 940.3347, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.7852, kappa: 0.5178, kb_relative_information_score: 93.2273, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.7983, predictive_accuracy: 0.7965, prior_entropy: 0.9393, recall: 0.7965, relative_absolute_error: 0.7014, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3842, root_relative_squared_error: 0.805, scimark_benchmark: 882.7843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, f_measure: 0.7788, kappa: 0.5036, kb_relative_information_score: 101.9905, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.7889, predictive_accuracy: 0.7895, prior_entropy: 0.9393, recall: 0.7895, relative_absolute_error: 0.6639, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.8998, scimark_benchmark: 939.9176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.8345, kappa: 0.6355, kb_relative_information_score: 177.5437, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8341, predictive_accuracy: 0.8351, prior_entropy: 0.9393, recall: 0.8351, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.8481, scimark_benchmark: 918.6005, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8341, kappa: 0.6338, kb_relative_information_score: 177.9442, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8336, predictive_accuracy: 0.8351, prior_entropy: 0.9393, recall: 0.8351, relative_absolute_error: 0.3588, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8422, scimark_benchmark: 942.6843, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.8336, kappa: 0.6321, kb_relative_information_score: 176.7294, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8333, predictive_accuracy: 0.8351, prior_entropy: 0.9393, recall: 0.8351, relative_absolute_error: 0.3632, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8403, scimark_benchmark: 1336.2509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.8332, kappa: 0.6303, kb_relative_information_score: 180.8866, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8331, predictive_accuracy: 0.8351, prior_entropy: 0.9393, recall: 0.8351, relative_absolute_error: 0.3486, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.7916, scimark_benchmark: 943.1756, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.8162, kappa: 0.5939, kb_relative_information_score: 169.4553, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8156, predictive_accuracy: 0.8175, prior_entropy: 0.9393, recall: 0.8175, relative_absolute_error: 0.3899, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3721, root_relative_squared_error: 0.7797, scimark_benchmark: 1313.9994, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.8667, kappa: 0.7073, kb_relative_information_score: 136.4532, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8667, predictive_accuracy: 0.8667, prior_entropy: 0.9393, recall: 0.8667, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.6907, scimark_benchmark: 1325.2092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.8709, kappa: 0.7182, kb_relative_information_score: 163.9655, mean_absolute_error: 0.1986, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8721, predictive_accuracy: 0.8702, prior_entropy: 0.9393, recall: 0.8702, relative_absolute_error: 0.4345, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.6778, scimark_benchmark: 889.3151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.872, f_measure: 0.8686, kappa: 0.7177, kb_relative_information_score: 197.7135, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8761, predictive_accuracy: 0.8667, prior_entropy: 0.9393, recall: 0.8667, relative_absolute_error: 0.2917, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7651, scimark_benchmark: 1318.1432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.511, kb_relative_information_score: 57.44, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.4214, predictive_accuracy: 0.6491, prior_entropy: 0.9393, recall: 0.6491, relative_absolute_error: 0.7677, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.5923, root_relative_squared_error: 1.2411, scimark_benchmark: 938.343, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8618, f_measure: 0.8768, kappa: 0.7285, kb_relative_information_score: 204.501, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8765, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.7343, scimark_benchmark: 939.449, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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