Task
Supervised Classification on kr-vs-kp

Supervised Classification on kr-vs-kp

Task 3 Supervised Classification kr-vs-kp 176411 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_218 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
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176411 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9743, kappa: 0.9486, kb_relative_information_score: 0.9202, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.499, weighted_recall: 0.9743, number_of_instances: 3196, precision: 0.9744, predictive_accuracy: 0.9743, prior_entropy: 0.9986, relative_absolute_error: 0.0857, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1509, root_relative_squared_error: 0.3022, unweighted_recall: 0.9744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9743, kappa: 0.9486, kb_relative_information_score: 0.9201, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.499, weighted_recall: 0.9743, number_of_instances: 3196, precision: 0.9744, predictive_accuracy: 0.9743, prior_entropy: 0.9986, relative_absolute_error: 0.0858, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.151, root_relative_squared_error: 0.3022, unweighted_recall: 0.9744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9743, kappa: 0.9486, kb_relative_information_score: 0.9201, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.499, weighted_recall: 0.9743, number_of_instances: 3196, precision: 0.9744, predictive_accuracy: 0.9743, prior_entropy: 0.9986, relative_absolute_error: 0.0858, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.151, root_relative_squared_error: 0.3022, unweighted_recall: 0.9744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9274, kappa: 0.8544, kb_relative_information_score: 0.5091, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.499, weighted_recall: 0.9274, number_of_instances: 3196, precision: 0.9276, predictive_accuracy: 0.9274, prior_entropy: 0.9986, relative_absolute_error: 0.5491, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.6212, unweighted_recall: 0.9267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9521, kappa: 0.904, kb_relative_information_score: 0.7565, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.499, weighted_recall: 0.9521, number_of_instances: 3196, precision: 0.9521, predictive_accuracy: 0.9521, prior_entropy: 0.9986, relative_absolute_error: 0.2793, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.4235, unweighted_recall: 0.9518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9743, kappa: 0.9486, kb_relative_information_score: 0.9202, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.499, weighted_recall: 0.9743, number_of_instances: 3196, precision: 0.9744, predictive_accuracy: 0.9743, prior_entropy: 0.9986, relative_absolute_error: 0.0857, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1509, root_relative_squared_error: 0.3022, unweighted_recall: 0.9744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9709, kappa: 0.9417, kb_relative_information_score: 0.9015, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.499, weighted_recall: 0.9709, number_of_instances: 3196, precision: 0.9709, predictive_accuracy: 0.9709, prior_entropy: 0.9986, relative_absolute_error: 0.1074, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.3161, unweighted_recall: 0.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9646, kappa: 0.9292, kb_relative_information_score: 0.8643, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.499, weighted_recall: 0.9646, number_of_instances: 3196, precision: 0.9647, predictive_accuracy: 0.9646, prior_entropy: 0.9986, relative_absolute_error: 0.1518, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.3418, unweighted_recall: 0.9647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9274, kappa: 0.8544, kb_relative_information_score: 0.5091, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.499, weighted_recall: 0.9274, number_of_instances: 3196, precision: 0.9276, predictive_accuracy: 0.9274, prior_entropy: 0.9986, relative_absolute_error: 0.5491, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.6212, unweighted_recall: 0.9267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9521, kappa: 0.904, kb_relative_information_score: 0.7565, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.499, weighted_recall: 0.9521, number_of_instances: 3196, precision: 0.9521, predictive_accuracy: 0.9521, prior_entropy: 0.9986, relative_absolute_error: 0.2793, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.4235, unweighted_recall: 0.9518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.852, kappa: 0.7044, kb_relative_information_score: 0.183, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.499, weighted_recall: 0.8536, number_of_instances: 3196, precision: 0.8622, predictive_accuracy: 0.8536, prior_entropy: 0.9986, relative_absolute_error: 0.8581, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8681, unweighted_recall: 0.8497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.852, kappa: 0.7044, kb_relative_information_score: 0.183, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.499, weighted_recall: 0.8536, number_of_instances: 3196, precision: 0.8622, predictive_accuracy: 0.8536, prior_entropy: 0.9986, relative_absolute_error: 0.8581, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8681, unweighted_recall: 0.8497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.852, kappa: 0.7044, kb_relative_information_score: 0.183, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.499, weighted_recall: 0.8536, number_of_instances: 3196, precision: 0.8622, predictive_accuracy: 0.8536, prior_entropy: 0.9986, relative_absolute_error: 0.8581, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8681, unweighted_recall: 0.8497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.852, kappa: 0.7044, kb_relative_information_score: 0.183, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.499, weighted_recall: 0.8536, number_of_instances: 3196, precision: 0.8622, predictive_accuracy: 0.8536, prior_entropy: 0.9986, relative_absolute_error: 0.8581, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8681, unweighted_recall: 0.8497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.852, kappa: 0.7044, kb_relative_information_score: 0.183, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.499, weighted_recall: 0.8536, number_of_instances: 3196, precision: 0.8622, predictive_accuracy: 0.8536, prior_entropy: 0.9986, relative_absolute_error: 0.8581, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8681, unweighted_recall: 0.8497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.852, kappa: 0.7044, kb_relative_information_score: 0.183, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.499, weighted_recall: 0.8536, number_of_instances: 3196, precision: 0.8622, predictive_accuracy: 0.8536, prior_entropy: 0.9986, relative_absolute_error: 0.8581, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8681, unweighted_recall: 0.8497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9709, kappa: 0.9417, kb_relative_information_score: 0.9015, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.499, weighted_recall: 0.9709, number_of_instances: 3196, precision: 0.9709, predictive_accuracy: 0.9709, prior_entropy: 0.9986, relative_absolute_error: 0.1074, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.3161, unweighted_recall: 0.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9709, kappa: 0.9417, kb_relative_information_score: 0.9015, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.499, weighted_recall: 0.9709, number_of_instances: 3196, precision: 0.9709, predictive_accuracy: 0.9709, prior_entropy: 0.9986, relative_absolute_error: 0.1074, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.3161, unweighted_recall: 0.971,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9709, kappa: 0.9417, kb_relative_information_score: 0.9015, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.499, weighted_recall: 0.9709, number_of_instances: 3196, precision: 0.9709, predictive_accuracy: 0.9709, prior_entropy: 0.9986, relative_absolute_error: 0.1074, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.3161, unweighted_recall: 0.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9709, kappa: 0.9417, kb_relative_information_score: 0.9015, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.499, weighted_recall: 0.9709, number_of_instances: 3196, precision: 0.9709, predictive_accuracy: 0.9709, prior_entropy: 0.9986, relative_absolute_error: 0.1074, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.3161, unweighted_recall: 0.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9709, kappa: 0.9417, kb_relative_information_score: 0.9015, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.499, weighted_recall: 0.9709, number_of_instances: 3196, precision: 0.9709, predictive_accuracy: 0.9709, prior_entropy: 0.9986, relative_absolute_error: 0.1074, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.3161, unweighted_recall: 0.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9709, kappa: 0.9417, kb_relative_information_score: 0.9015, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.499, weighted_recall: 0.9709, number_of_instances: 3196, precision: 0.9709, predictive_accuracy: 0.9709, prior_entropy: 0.9986, relative_absolute_error: 0.1074, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.3161, unweighted_recall: 0.971,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.852, kappa: 0.7044, kb_relative_information_score: 0.183, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.499, weighted_recall: 0.8536, number_of_instances: 3196, precision: 0.8622, predictive_accuracy: 0.8536, prior_entropy: 0.9986, relative_absolute_error: 0.8581, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8681, unweighted_recall: 0.8497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.852, kappa: 0.7044, kb_relative_information_score: 0.183, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.499, weighted_recall: 0.8536, number_of_instances: 3196, precision: 0.8622, predictive_accuracy: 0.8536, prior_entropy: 0.9986, relative_absolute_error: 0.8581, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8681, unweighted_recall: 0.8497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.852, kappa: 0.7044, kb_relative_information_score: 0.183, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.499, weighted_recall: 0.8536, number_of_instances: 3196, precision: 0.8622, predictive_accuracy: 0.8536, prior_entropy: 0.9986, relative_absolute_error: 0.8581, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8681, unweighted_recall: 0.8497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.852, kappa: 0.7044, kb_relative_information_score: 0.183, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.499, weighted_recall: 0.8536, number_of_instances: 3196, precision: 0.8622, predictive_accuracy: 0.8536, prior_entropy: 0.9986, relative_absolute_error: 0.8581, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8681, unweighted_recall: 0.8497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.852, kappa: 0.7044, kb_relative_information_score: 0.183, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.499, weighted_recall: 0.8536, number_of_instances: 3196, precision: 0.8622, predictive_accuracy: 0.8536, prior_entropy: 0.9986, relative_absolute_error: 0.8581, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8681, unweighted_recall: 0.8497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.852, kappa: 0.7044, kb_relative_information_score: 0.183, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.499, weighted_recall: 0.8536, number_of_instances: 3196, precision: 0.8622, predictive_accuracy: 0.8536, prior_entropy: 0.9986, relative_absolute_error: 0.8581, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8681, unweighted_recall: 0.8497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9731, kappa: 0.9461, kb_relative_information_score: 0.9157, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.499, weighted_recall: 0.9731, number_of_instances: 3196, precision: 0.9731, predictive_accuracy: 0.9731, prior_entropy: 0.9986, relative_absolute_error: 0.0907, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.153, root_relative_squared_error: 0.3062, unweighted_recall: 0.9731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9709, kappa: 0.9417, kb_relative_information_score: 0.9015, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.499, weighted_recall: 0.9709, number_of_instances: 3196, precision: 0.9709, predictive_accuracy: 0.9709, prior_entropy: 0.9986, relative_absolute_error: 0.1074, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.3161, unweighted_recall: 0.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.852, kappa: 0.7044, kb_relative_information_score: 0.183, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.499, weighted_recall: 0.8536, number_of_instances: 3196, precision: 0.8622, predictive_accuracy: 0.8536, prior_entropy: 0.9986, relative_absolute_error: 0.8581, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8681, unweighted_recall: 0.8497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9731, kappa: 0.9461, kb_relative_information_score: 0.9157, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.499, weighted_recall: 0.9731, number_of_instances: 3196, precision: 0.9731, predictive_accuracy: 0.9731, prior_entropy: 0.9986, relative_absolute_error: 0.0907, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.153, root_relative_squared_error: 0.3062, unweighted_recall: 0.9731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9731, kappa: 0.9461, kb_relative_information_score: 0.9157, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.499, weighted_recall: 0.9731, number_of_instances: 3196, precision: 0.9731, predictive_accuracy: 0.9731, prior_entropy: 0.9986, relative_absolute_error: 0.0907, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.153, root_relative_squared_error: 0.3062, unweighted_recall: 0.9731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9731, kappa: 0.9461, kb_relative_information_score: 0.9157, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.499, weighted_recall: 0.9731, number_of_instances: 3196, precision: 0.9731, predictive_accuracy: 0.9731, prior_entropy: 0.9986, relative_absolute_error: 0.0907, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.153, root_relative_squared_error: 0.3062, unweighted_recall: 0.9731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.852, kappa: 0.7044, kb_relative_information_score: 0.183, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.499, weighted_recall: 0.8536, number_of_instances: 3196, precision: 0.8622, predictive_accuracy: 0.8536, prior_entropy: 0.9986, relative_absolute_error: 0.8581, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8681, unweighted_recall: 0.8497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.852, kappa: 0.7044, kb_relative_information_score: 0.183, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.499, weighted_recall: 0.8536, number_of_instances: 3196, precision: 0.8622, predictive_accuracy: 0.8536, prior_entropy: 0.9986, relative_absolute_error: 0.8581, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8681, unweighted_recall: 0.8497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.852, kappa: 0.7044, kb_relative_information_score: 0.183, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.499, weighted_recall: 0.8536, number_of_instances: 3196, precision: 0.8622, predictive_accuracy: 0.8536, prior_entropy: 0.9986, relative_absolute_error: 0.8581, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8681, unweighted_recall: 0.8497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.852, kappa: 0.7044, kb_relative_information_score: 0.183, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.499, weighted_recall: 0.8536, number_of_instances: 3196, precision: 0.8622, predictive_accuracy: 0.8536, prior_entropy: 0.9986, relative_absolute_error: 0.8581, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8681, unweighted_recall: 0.8497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9737, kappa: 0.9473, kb_relative_information_score: 0.9188, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.499, weighted_recall: 0.9737, number_of_instances: 3196, precision: 0.9737, predictive_accuracy: 0.9737, prior_entropy: 0.9986, relative_absolute_error: 0.0872, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1517, root_relative_squared_error: 0.3037, unweighted_recall: 0.9738,

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