OpenML
Supervised Classification on tic-tac-toe

Supervised Classification on tic-tac-toe

Task 145804 Supervised Classification tic-tac-toe 270274 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.8429, kappa: 0.6447, kb_relative_information_score: 337.2992, mean_absolute_error: 0.3181, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8747, predictive_accuracy: 0.8539, prior_entropy: 0.9312, recall: 0.8539, relative_absolute_error: 0.7022, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.8419, kappa: 0.6424, kb_relative_information_score: 337.0951, mean_absolute_error: 0.3182, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8729, predictive_accuracy: 0.8528, prior_entropy: 0.9312, recall: 0.8528, relative_absolute_error: 0.7024, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3547, root_relative_squared_error: 0.7454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.8419, kappa: 0.6424, kb_relative_information_score: 337.0951, mean_absolute_error: 0.3182, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8729, predictive_accuracy: 0.8528, prior_entropy: 0.9312, recall: 0.8528, relative_absolute_error: 0.7024, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3547, root_relative_squared_error: 0.7454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.8419, kappa: 0.6424, kb_relative_information_score: 337.0951, mean_absolute_error: 0.3182, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8729, predictive_accuracy: 0.8528, prior_entropy: 0.9312, recall: 0.8528, relative_absolute_error: 0.7024, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3547, root_relative_squared_error: 0.7454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.8417, kappa: 0.6418, kb_relative_information_score: 338.3286, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.874, predictive_accuracy: 0.8528, prior_entropy: 0.9312, recall: 0.8528, relative_absolute_error: 0.7015, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3542, root_relative_squared_error: 0.7444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.8407, kappa: 0.6396, kb_relative_information_score: 337.9311, mean_absolute_error: 0.3179, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8722, predictive_accuracy: 0.8518, prior_entropy: 0.9312, recall: 0.8518, relative_absolute_error: 0.7018, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3543, root_relative_squared_error: 0.7445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.8407, kappa: 0.6396, kb_relative_information_score: 338.0681, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8722, predictive_accuracy: 0.8518, prior_entropy: 0.9312, recall: 0.8518, relative_absolute_error: 0.7016, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3542, root_relative_squared_error: 0.7443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.8407, kappa: 0.6396, kb_relative_information_score: 338.0438, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8722, predictive_accuracy: 0.8518, prior_entropy: 0.9312, recall: 0.8518, relative_absolute_error: 0.7016, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3542, root_relative_squared_error: 0.7444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.8407, kappa: 0.6396, kb_relative_information_score: 337.8277, mean_absolute_error: 0.3179, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8722, predictive_accuracy: 0.8518, prior_entropy: 0.9312, recall: 0.8518, relative_absolute_error: 0.7018, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3543, root_relative_squared_error: 0.7446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.8419, kappa: 0.6424, kb_relative_information_score: 337.8382, mean_absolute_error: 0.3179, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8729, predictive_accuracy: 0.8528, prior_entropy: 0.9312, recall: 0.8528, relative_absolute_error: 0.7017, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3543, root_relative_squared_error: 0.7446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.8419, kappa: 0.6424, kb_relative_information_score: 337.9153, mean_absolute_error: 0.3179, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8729, predictive_accuracy: 0.8528, prior_entropy: 0.9312, recall: 0.8528, relative_absolute_error: 0.7017, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3543, root_relative_squared_error: 0.7445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.8517, kappa: 0.6644, kb_relative_information_score: 428.7236, mean_absolute_error: 0.2729, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8862, predictive_accuracy: 0.8622, prior_entropy: 0.9312, recall: 0.8622, relative_absolute_error: 0.6023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.6839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.8517, kappa: 0.6644, kb_relative_information_score: 420.9413, mean_absolute_error: 0.2765, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8862, predictive_accuracy: 0.8622, prior_entropy: 0.9312, recall: 0.8622, relative_absolute_error: 0.6103, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.329, root_relative_squared_error: 0.6913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.8517, kappa: 0.6644, kb_relative_information_score: 425.1991, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8862, predictive_accuracy: 0.8622, prior_entropy: 0.9312, recall: 0.8622, relative_absolute_error: 0.606, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.327, root_relative_squared_error: 0.6872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.8517, kappa: 0.6644, kb_relative_information_score: 420.9413, mean_absolute_error: 0.2765, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8862, predictive_accuracy: 0.8622, prior_entropy: 0.9312, recall: 0.8622, relative_absolute_error: 0.6103, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.329, root_relative_squared_error: 0.6913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.8517, kappa: 0.6644, kb_relative_information_score: 425.1991, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8862, predictive_accuracy: 0.8622, prior_entropy: 0.9312, recall: 0.8622, relative_absolute_error: 0.606, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.327, root_relative_squared_error: 0.6872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.8517, kappa: 0.6644, kb_relative_information_score: 420.9413, mean_absolute_error: 0.2765, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8862, predictive_accuracy: 0.8622, prior_entropy: 0.9312, recall: 0.8622, relative_absolute_error: 0.6103, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.329, root_relative_squared_error: 0.6913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.8517, kappa: 0.6644, kb_relative_information_score: 425.1991, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8862, predictive_accuracy: 0.8622, prior_entropy: 0.9312, recall: 0.8622, relative_absolute_error: 0.606, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.327, root_relative_squared_error: 0.6872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.8517, kappa: 0.6644, kb_relative_information_score: 420.9413, mean_absolute_error: 0.2765, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8862, predictive_accuracy: 0.8622, prior_entropy: 0.9312, recall: 0.8622, relative_absolute_error: 0.6103, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.329, root_relative_squared_error: 0.6913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.8517, kappa: 0.6644, kb_relative_information_score: 425.1991, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8862, predictive_accuracy: 0.8622, prior_entropy: 0.9312, recall: 0.8622, relative_absolute_error: 0.606, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.327, root_relative_squared_error: 0.6872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.8517, kappa: 0.6644, kb_relative_information_score: 425.1991, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8862, predictive_accuracy: 0.8622, prior_entropy: 0.9312, recall: 0.8622, relative_absolute_error: 0.606, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.327, root_relative_squared_error: 0.6872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.8517, kappa: 0.6644, kb_relative_information_score: 425.1991, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8862, predictive_accuracy: 0.8622, prior_entropy: 0.9312, recall: 0.8622, relative_absolute_error: 0.606, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.327, root_relative_squared_error: 0.6872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.8517, kappa: 0.6644, kb_relative_information_score: 420.9413, mean_absolute_error: 0.2765, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8862, predictive_accuracy: 0.8622, prior_entropy: 0.9312, recall: 0.8622, relative_absolute_error: 0.6103, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.329, root_relative_squared_error: 0.6913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.8517, kappa: 0.6644, kb_relative_information_score: 425.1991, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8862, predictive_accuracy: 0.8622, prior_entropy: 0.9312, recall: 0.8622, relative_absolute_error: 0.606, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.327, root_relative_squared_error: 0.6872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.8517, kappa: 0.6644, kb_relative_information_score: 428.7236, mean_absolute_error: 0.2729, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8862, predictive_accuracy: 0.8622, prior_entropy: 0.9312, recall: 0.8622, relative_absolute_error: 0.6023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.6839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.8517, kappa: 0.6644, kb_relative_information_score: 428.7236, mean_absolute_error: 0.2729, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8862, predictive_accuracy: 0.8622, prior_entropy: 0.9312, recall: 0.8622, relative_absolute_error: 0.6023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.6839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.8517, kappa: 0.6644, kb_relative_information_score: 428.7236, mean_absolute_error: 0.2729, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8862, predictive_accuracy: 0.8622, prior_entropy: 0.9312, recall: 0.8622, relative_absolute_error: 0.6023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.6839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.8517, kappa: 0.6644, kb_relative_information_score: 428.7236, mean_absolute_error: 0.2729, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8862, predictive_accuracy: 0.8622, prior_entropy: 0.9312, recall: 0.8622, relative_absolute_error: 0.6023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.6839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.8517, kappa: 0.6644, kb_relative_information_score: 428.7236, mean_absolute_error: 0.2729, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8862, predictive_accuracy: 0.8622, prior_entropy: 0.9312, recall: 0.8622, relative_absolute_error: 0.6023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.6839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.8554, kappa: 0.6728, kb_relative_information_score: 432.507, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8884, predictive_accuracy: 0.8653, prior_entropy: 0.9312, recall: 0.8653, relative_absolute_error: 0.5987, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.6804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.8517, kappa: 0.6644, kb_relative_information_score: 428.7236, mean_absolute_error: 0.2729, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8862, predictive_accuracy: 0.8622, prior_entropy: 0.9312, recall: 0.8622, relative_absolute_error: 0.6023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.6839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.8554, kappa: 0.6728, kb_relative_information_score: 432.507, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8884, predictive_accuracy: 0.8653, prior_entropy: 0.9312, recall: 0.8653, relative_absolute_error: 0.5987, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.6804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.8554, kappa: 0.6728, kb_relative_information_score: 432.507, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8884, predictive_accuracy: 0.8653, prior_entropy: 0.9312, recall: 0.8653, relative_absolute_error: 0.5987, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.6804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.8554, kappa: 0.6728, kb_relative_information_score: 432.507, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8884, predictive_accuracy: 0.8653, prior_entropy: 0.9312, recall: 0.8653, relative_absolute_error: 0.5987, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.6804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.8554, kappa: 0.6728, kb_relative_information_score: 432.507, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8884, predictive_accuracy: 0.8653, prior_entropy: 0.9312, recall: 0.8653, relative_absolute_error: 0.5987, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.6804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.8554, kappa: 0.6728, kb_relative_information_score: 432.507, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8884, predictive_accuracy: 0.8653, prior_entropy: 0.9312, recall: 0.8653, relative_absolute_error: 0.5987, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.6804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.8554, kappa: 0.6728, kb_relative_information_score: 432.507, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8884, predictive_accuracy: 0.8653, prior_entropy: 0.9312, recall: 0.8653, relative_absolute_error: 0.5987, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.6804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8554, kappa: 0.6728, kb_relative_information_score: 436.0773, mean_absolute_error: 0.2697, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8884, predictive_accuracy: 0.8653, prior_entropy: 0.9312, recall: 0.8653, relative_absolute_error: 0.5953, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.6769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8554, kappa: 0.6728, kb_relative_information_score: 436.0773, mean_absolute_error: 0.2697, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8884, predictive_accuracy: 0.8653, prior_entropy: 0.9312, recall: 0.8653, relative_absolute_error: 0.5953, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.6769,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8554, kappa: 0.6728, kb_relative_information_score: 436.0773, mean_absolute_error: 0.2697, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8884, predictive_accuracy: 0.8653, prior_entropy: 0.9312, recall: 0.8653, relative_absolute_error: 0.5953, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.6769,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.8566, kappa: 0.6756, kb_relative_information_score: 439.1227, mean_absolute_error: 0.2683, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8891, predictive_accuracy: 0.8664, prior_entropy: 0.9312, recall: 0.8664, relative_absolute_error: 0.5922, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.6741,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.8504, kappa: 0.6616, kb_relative_information_score: 407.4594, mean_absolute_error: 0.2833, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8855, predictive_accuracy: 0.8612, prior_entropy: 0.9312, recall: 0.8612, relative_absolute_error: 0.6253, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3325, root_relative_squared_error: 0.6988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.8529, kappa: 0.6672, kb_relative_information_score: 415.5885, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8869, predictive_accuracy: 0.8633, prior_entropy: 0.9312, recall: 0.8633, relative_absolute_error: 0.6173, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.6916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.8504, kappa: 0.6616, kb_relative_information_score: 407.4594, mean_absolute_error: 0.2833, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8855, predictive_accuracy: 0.8612, prior_entropy: 0.9312, recall: 0.8612, relative_absolute_error: 0.6253, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3325, root_relative_squared_error: 0.6988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.8554, kappa: 0.6728, kb_relative_information_score: 426.1763, mean_absolute_error: 0.2748, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8884, predictive_accuracy: 0.8653, prior_entropy: 0.9312, recall: 0.8653, relative_absolute_error: 0.6066, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3249, root_relative_squared_error: 0.6826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.8504, kappa: 0.6616, kb_relative_information_score: 407.4594, mean_absolute_error: 0.2833, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8855, predictive_accuracy: 0.8612, prior_entropy: 0.9312, recall: 0.8612, relative_absolute_error: 0.6253, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3325, root_relative_squared_error: 0.6988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.8529, kappa: 0.6672, kb_relative_information_score: 415.5885, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8869, predictive_accuracy: 0.8633, prior_entropy: 0.9312, recall: 0.8633, relative_absolute_error: 0.6173, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.6916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.8529, kappa: 0.6672, kb_relative_information_score: 411.4549, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8869, predictive_accuracy: 0.8633, prior_entropy: 0.9312, recall: 0.8633, relative_absolute_error: 0.6212, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.6954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.8529, kappa: 0.6672, kb_relative_information_score: 415.5885, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8869, predictive_accuracy: 0.8633, prior_entropy: 0.9312, recall: 0.8633, relative_absolute_error: 0.6173, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.6916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.8529, kappa: 0.6672, kb_relative_information_score: 411.4549, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8869, predictive_accuracy: 0.8633, prior_entropy: 0.9312, recall: 0.8633, relative_absolute_error: 0.6212, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.6954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.8529, kappa: 0.6672, kb_relative_information_score: 415.5885, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8869, predictive_accuracy: 0.8633, prior_entropy: 0.9312, recall: 0.8633, relative_absolute_error: 0.6173, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.6916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.8542, kappa: 0.67, kb_relative_information_score: 419.3755, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8876, predictive_accuracy: 0.8643, prior_entropy: 0.9312, recall: 0.8643, relative_absolute_error: 0.6136, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.6885,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs