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: 0.9975, f_measure: 0.9346, kappa: 0.8531, kb_relative_information_score: 608.4245, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.942, predictive_accuracy: 0.9363, prior_entropy: 0.9312, recall: 0.9363, relative_absolute_error: 0.4202, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2457, root_relative_squared_error: 0.5164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9346, kappa: 0.8531, kb_relative_information_score: 608.4245, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.942, predictive_accuracy: 0.9363, prior_entropy: 0.9312, recall: 0.9363, relative_absolute_error: 0.4202, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2457, root_relative_squared_error: 0.5164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9346, kappa: 0.8531, kb_relative_information_score: 608.4245, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.942, predictive_accuracy: 0.9363, prior_entropy: 0.9312, recall: 0.9363, relative_absolute_error: 0.4202, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2457, root_relative_squared_error: 0.5164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9346, kappa: 0.8531, kb_relative_information_score: 608.4245, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.942, predictive_accuracy: 0.9363, prior_entropy: 0.9312, recall: 0.9363, relative_absolute_error: 0.4202, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2457, root_relative_squared_error: 0.5164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9423, kappa: 0.8706, kb_relative_information_score: 644.9935, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9481, predictive_accuracy: 0.9436, prior_entropy: 0.9312, recall: 0.9436, relative_absolute_error: 0.3806, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.4804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9423, kappa: 0.8706, kb_relative_information_score: 644.9935, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9481, predictive_accuracy: 0.9436, prior_entropy: 0.9312, recall: 0.9436, relative_absolute_error: 0.3806, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.4804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9423, kappa: 0.8706, kb_relative_information_score: 644.9935, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9481, predictive_accuracy: 0.9436, prior_entropy: 0.9312, recall: 0.9436, relative_absolute_error: 0.3806, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.4804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9423, kappa: 0.8706, kb_relative_information_score: 644.9935, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9481, predictive_accuracy: 0.9436, prior_entropy: 0.9312, recall: 0.9436, relative_absolute_error: 0.3806, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.4804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9412, kappa: 0.8681, kb_relative_information_score: 639.8253, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9472, predictive_accuracy: 0.9426, prior_entropy: 0.9312, recall: 0.9426, relative_absolute_error: 0.3867, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9379, kappa: 0.8606, kb_relative_information_score: 631.3077, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9446, predictive_accuracy: 0.9395, prior_entropy: 0.9312, recall: 0.9395, relative_absolute_error: 0.3958, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.235, root_relative_squared_error: 0.4938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9423, kappa: 0.8706, kb_relative_information_score: 644.9935, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9481, predictive_accuracy: 0.9436, prior_entropy: 0.9312, recall: 0.9436, relative_absolute_error: 0.3806, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.4804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9434, kappa: 0.8731, kb_relative_information_score: 645.0384, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.949, predictive_accuracy: 0.9447, prior_entropy: 0.9312, recall: 0.9447, relative_absolute_error: 0.381, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.4796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9456, kappa: 0.8781, kb_relative_information_score: 656.1696, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9508, predictive_accuracy: 0.9468, prior_entropy: 0.9312, recall: 0.9468, relative_absolute_error: 0.3683, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.4684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9543, kappa: 0.8978, kb_relative_information_score: 678.4688, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.958, predictive_accuracy: 0.9551, prior_entropy: 0.9312, recall: 0.9551, relative_absolute_error: 0.3437, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9489, kappa: 0.8855, kb_relative_information_score: 670.2264, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9535, predictive_accuracy: 0.9499, prior_entropy: 0.9312, recall: 0.9499, relative_absolute_error: 0.3529, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.4544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9565, kappa: 0.9027, kb_relative_information_score: 684.5225, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9598, predictive_accuracy: 0.9572, prior_entropy: 0.9312, recall: 0.9572, relative_absolute_error: 0.3371, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.4396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9565, kappa: 0.9027, kb_relative_information_score: 684.5225, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9598, predictive_accuracy: 0.9572, prior_entropy: 0.9312, recall: 0.9572, relative_absolute_error: 0.3371, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.4396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9565, kappa: 0.9027, kb_relative_information_score: 684.5225, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9598, predictive_accuracy: 0.9572, prior_entropy: 0.9312, recall: 0.9572, relative_absolute_error: 0.3371, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.4396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9478, kappa: 0.883, kb_relative_information_score: 653.7868, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9526, predictive_accuracy: 0.9489, prior_entropy: 0.9312, recall: 0.9489, relative_absolute_error: 0.3728, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.4683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9543, kappa: 0.8978, kb_relative_information_score: 667.9842, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.958, predictive_accuracy: 0.9551, prior_entropy: 0.9312, recall: 0.9551, relative_absolute_error: 0.3568, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.216, root_relative_squared_error: 0.4539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9554, kappa: 0.9002, kb_relative_information_score: 683.7883, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9589, predictive_accuracy: 0.9562, prior_entropy: 0.9312, recall: 0.9562, relative_absolute_error: 0.3391, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.4374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9597, kappa: 0.91, kb_relative_information_score: 695.8694, mean_absolute_error: 0.1474, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9626, predictive_accuracy: 0.9603, prior_entropy: 0.9312, recall: 0.9603, relative_absolute_error: 0.3254, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.4252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9662, kappa: 0.9245, kb_relative_information_score: 707.8783, mean_absolute_error: 0.1411, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9682, predictive_accuracy: 0.9666, prior_entropy: 0.9312, recall: 0.9666, relative_absolute_error: 0.3116, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.4133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9672, kappa: 0.927, kb_relative_information_score: 714.9173, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9692, predictive_accuracy: 0.9676, prior_entropy: 0.9312, recall: 0.9676, relative_absolute_error: 0.3024, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.4074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9683, kappa: 0.9294, kb_relative_information_score: 721.6716, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9701, predictive_accuracy: 0.9687, prior_entropy: 0.9312, recall: 0.9687, relative_absolute_error: 0.2944, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.4015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.8652, kappa: 0.695, kb_relative_information_score: 453.39, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8942, predictive_accuracy: 0.8737, prior_entropy: 0.9312, recall: 0.8737, relative_absolute_error: 0.5807, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.6589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.8652, kappa: 0.695, kb_relative_information_score: 453.39, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8942, predictive_accuracy: 0.8737, prior_entropy: 0.9312, recall: 0.8737, relative_absolute_error: 0.5807, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.6589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.8652, kappa: 0.695, kb_relative_information_score: 453.39, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8942, predictive_accuracy: 0.8737, prior_entropy: 0.9312, recall: 0.8737, relative_absolute_error: 0.5807, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.6589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8664, kappa: 0.6978, kb_relative_information_score: 468.2124, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8949, predictive_accuracy: 0.8747, prior_entropy: 0.9312, recall: 0.8747, relative_absolute_error: 0.5661, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.8652, kappa: 0.695, kb_relative_information_score: 453.39, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8942, predictive_accuracy: 0.8737, prior_entropy: 0.9312, recall: 0.8737, relative_absolute_error: 0.5807, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.6589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8664, kappa: 0.6978, kb_relative_information_score: 468.2124, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8949, predictive_accuracy: 0.8747, prior_entropy: 0.9312, recall: 0.8747, relative_absolute_error: 0.5661, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.8652, kappa: 0.695, kb_relative_information_score: 453.39, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8942, predictive_accuracy: 0.8737, prior_entropy: 0.9312, recall: 0.8737, relative_absolute_error: 0.5807, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.6589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.8712, kappa: 0.7088, kb_relative_information_score: 482.6857, mean_absolute_error: 0.2497, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8978, predictive_accuracy: 0.8789, prior_entropy: 0.9312, recall: 0.8789, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.8712, kappa: 0.7088, kb_relative_information_score: 482.6857, mean_absolute_error: 0.2497, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8978, predictive_accuracy: 0.8789, prior_entropy: 0.9312, recall: 0.8789, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.8712, kappa: 0.7088, kb_relative_information_score: 482.6857, mean_absolute_error: 0.2497, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8978, predictive_accuracy: 0.8789, prior_entropy: 0.9312, recall: 0.8789, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.8652, kappa: 0.695, kb_relative_information_score: 453.39, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8942, predictive_accuracy: 0.8737, prior_entropy: 0.9312, recall: 0.8737, relative_absolute_error: 0.5807, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.6589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8664, kappa: 0.6978, kb_relative_information_score: 468.2124, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8949, predictive_accuracy: 0.8747, prior_entropy: 0.9312, recall: 0.8747, relative_absolute_error: 0.5661, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8664, kappa: 0.6978, kb_relative_information_score: 468.2124, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8949, predictive_accuracy: 0.8747, prior_entropy: 0.9312, recall: 0.8747, relative_absolute_error: 0.5661, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8664, kappa: 0.6978, kb_relative_information_score: 468.2124, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8949, predictive_accuracy: 0.8747, prior_entropy: 0.9312, recall: 0.8747, relative_absolute_error: 0.5661, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.8652, kappa: 0.695, kb_relative_information_score: 453.39, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8942, predictive_accuracy: 0.8737, prior_entropy: 0.9312, recall: 0.8737, relative_absolute_error: 0.5807, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.6589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.8712, kappa: 0.7088, kb_relative_information_score: 482.6857, mean_absolute_error: 0.2497, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8978, predictive_accuracy: 0.8789, prior_entropy: 0.9312, recall: 0.8789, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8664, kappa: 0.6978, kb_relative_information_score: 468.2124, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8949, predictive_accuracy: 0.8747, prior_entropy: 0.9312, recall: 0.8747, relative_absolute_error: 0.5661, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.8712, kappa: 0.7088, kb_relative_information_score: 482.6857, mean_absolute_error: 0.2497, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8978, predictive_accuracy: 0.8789, prior_entropy: 0.9312, recall: 0.8789, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.8772, kappa: 0.7224, kb_relative_information_score: 505.7998, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9016, predictive_accuracy: 0.8841, prior_entropy: 0.9312, recall: 0.8841, relative_absolute_error: 0.5287, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.6111,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.8712, kappa: 0.7088, kb_relative_information_score: 482.6857, mean_absolute_error: 0.2497, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8978, predictive_accuracy: 0.8789, prior_entropy: 0.9312, recall: 0.8789, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6326,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.864, kappa: 0.6923, kb_relative_information_score: 431.7186, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8934, predictive_accuracy: 0.8727, prior_entropy: 0.9312, recall: 0.8727, relative_absolute_error: 0.6048, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.864, kappa: 0.6923, kb_relative_information_score: 431.7186, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8934, predictive_accuracy: 0.8727, prior_entropy: 0.9312, recall: 0.8727, relative_absolute_error: 0.6048, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.864, kappa: 0.6923, kb_relative_information_score: 431.7186, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8934, predictive_accuracy: 0.8727, prior_entropy: 0.9312, recall: 0.8727, relative_absolute_error: 0.6048, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.864, kappa: 0.6923, kb_relative_information_score: 431.7186, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8934, predictive_accuracy: 0.8727, prior_entropy: 0.9312, recall: 0.8727, relative_absolute_error: 0.6048, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8664, kappa: 0.6978, kb_relative_information_score: 447.0785, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8949, predictive_accuracy: 0.8747, prior_entropy: 0.9312, recall: 0.8747, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3144, root_relative_squared_error: 0.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.864, kappa: 0.6923, kb_relative_information_score: 431.7186, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8934, predictive_accuracy: 0.8727, prior_entropy: 0.9312, recall: 0.8727, relative_absolute_error: 0.6048, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8664, kappa: 0.6978, kb_relative_information_score: 447.0785, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8949, predictive_accuracy: 0.8747, prior_entropy: 0.9312, recall: 0.8747, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3144, root_relative_squared_error: 0.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8664, kappa: 0.6978, kb_relative_information_score: 447.0785, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8949, predictive_accuracy: 0.8747, prior_entropy: 0.9312, recall: 0.8747, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3144, root_relative_squared_error: 0.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8664, kappa: 0.6978, kb_relative_information_score: 447.0785, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8949, predictive_accuracy: 0.8747, prior_entropy: 0.9312, recall: 0.8747, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3144, root_relative_squared_error: 0.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8664, kappa: 0.6978, kb_relative_information_score: 447.0785, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8949, predictive_accuracy: 0.8747, prior_entropy: 0.9312, recall: 0.8747, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3144, root_relative_squared_error: 0.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8664, kappa: 0.6978, kb_relative_information_score: 447.0785, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8949, predictive_accuracy: 0.8747, prior_entropy: 0.9312, recall: 0.8747, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3144, root_relative_squared_error: 0.6607,

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