OpenML
Supervised Classification on segment

Supervised Classification on segment

Task 36 Supervised Classification segment 12978 runs submitted
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  • at2 basic OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 under100k under1m
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12978 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9645, kappa: 0.9586, kb_relative_information_score: 0.9617, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9648, predictive_accuracy: 0.9645, prior_entropy: 2.8074, recall: 0.9645, relative_absolute_error: 0.0414, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.2878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9645, kappa: 0.9586, kb_relative_information_score: 0.9617, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9648, predictive_accuracy: 0.9645, prior_entropy: 2.8074, recall: 0.9645, relative_absolute_error: 0.0414, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.2878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.676, f_measure: 0.4848, kappa: 0.352, kb_relative_information_score: 0.4006, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.6969, predictive_accuracy: 0.4446, prior_entropy: 2.8074, recall: 0.4446, relative_absolute_error: 0.648, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3984, root_relative_squared_error: 1.1384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9645, kappa: 0.9586, kb_relative_information_score: 0.9617, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9648, predictive_accuracy: 0.9645, prior_entropy: 2.8074, recall: 0.9645, relative_absolute_error: 0.0414, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.2878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9634, kappa: 0.9571, kb_relative_information_score: 0.9603, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9644, predictive_accuracy: 0.9632, prior_entropy: 2.8074, recall: 0.9632, relative_absolute_error: 0.0429, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9634, kappa: 0.9571, kb_relative_information_score: 0.9603, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9644, predictive_accuracy: 0.9632, prior_entropy: 2.8074, recall: 0.9632, relative_absolute_error: 0.0429, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9771, kappa: 0.9732, kb_relative_information_score: 0.9752, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9773, predictive_accuracy: 0.9771, prior_entropy: 2.8074, recall: 0.9771, relative_absolute_error: 0.0268, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.081, root_relative_squared_error: 0.2314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7379, f_measure: 0.5945, kappa: 0.4758, kb_relative_information_score: 0.5151, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.7907, predictive_accuracy: 0.5506, prior_entropy: 2.8074, recall: 0.5506, relative_absolute_error: 0.5242, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3583, root_relative_squared_error: 1.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6561, f_measure: 0.4362, kappa: 0.3121, kb_relative_information_score: 0.3637, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8627, predictive_accuracy: 0.4104, prior_entropy: 2.8074, recall: 0.4104, relative_absolute_error: 0.6879, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4104, root_relative_squared_error: 1.1729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9634, kappa: 0.9571, kb_relative_information_score: 0.9603, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9644, predictive_accuracy: 0.9632, prior_entropy: 2.8074, recall: 0.9632, relative_absolute_error: 0.0429, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4462, kappa: -0.1076, kb_relative_information_score: -0.0246, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, predictive_accuracy: 0.0506, prior_entropy: 2.8074, recall: 0.0506, relative_absolute_error: 1.1076, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.5208, root_relative_squared_error: 1.4883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4462, kappa: -0.1076, kb_relative_information_score: -0.0246, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, predictive_accuracy: 0.0506, prior_entropy: 2.8074, recall: 0.0506, relative_absolute_error: 1.1076, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.5208, root_relative_squared_error: 1.4883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5874, f_measure: 0.3034, kappa: 0.1747, kb_relative_information_score: 0.2366, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.5588, predictive_accuracy: 0.2926, prior_entropy: 2.8074, recall: 0.2926, relative_absolute_error: 0.8253, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4496, root_relative_squared_error: 1.2847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9532, kappa: 0.9455, kb_relative_information_score: 0.9495, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9538, predictive_accuracy: 0.9532, prior_entropy: 2.8074, recall: 0.9532, relative_absolute_error: 0.0545, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1156, root_relative_squared_error: 0.3303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9542, kappa: 0.9465, kb_relative_information_score: 0.9505, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9561, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.0535, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.3272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9634, kappa: 0.9571, kb_relative_information_score: 0.9603, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9644, predictive_accuracy: 0.9632, prior_entropy: 2.8074, recall: 0.9632, relative_absolute_error: 0.0429, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kappa: -0.0152, kb_relative_information_score: 0.0609, mean_absolute_error: 0.2486, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, predictive_accuracy: 0.1299, prior_entropy: 2.8074, recall: 0.1299, relative_absolute_error: 1.0152, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.4249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, predictive_accuracy: 0.1429, prior_entropy: 2.8074, recall: 0.1429, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.8213, kappa: 0.7914, kb_relative_information_score: 0.807, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8301, predictive_accuracy: 0.8212, prior_entropy: 2.8074, recall: 0.8212, relative_absolute_error: 0.2086, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.226, root_relative_squared_error: 0.6459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5869, f_measure: 0.3021, kappa: 0.1737, kb_relative_information_score: 0.2357, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.5587, predictive_accuracy: 0.2918, prior_entropy: 2.8074, recall: 0.2918, relative_absolute_error: 0.8263, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4498, root_relative_squared_error: 1.2855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.9492, kappa: 0.9404, kb_relative_information_score: 0.9449, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9517, predictive_accuracy: 0.9489, prior_entropy: 2.8074, recall: 0.9489, relative_absolute_error: 0.0596, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1208, root_relative_squared_error: 0.3452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9538, kappa: 0.946, kb_relative_information_score: 0.95, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9554, predictive_accuracy: 0.9537, prior_entropy: 2.8074, recall: 0.9537, relative_absolute_error: 0.054, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.115, root_relative_squared_error: 0.3288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9771, kappa: 0.9732, kb_relative_information_score: 0.9752, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9773, predictive_accuracy: 0.9771, prior_entropy: 2.8074, recall: 0.9771, relative_absolute_error: 0.0268, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.081, root_relative_squared_error: 0.2314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, predictive_accuracy: 0.1429, prior_entropy: 2.8074, recall: 0.1429, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5869, f_measure: 0.3021, kappa: 0.1737, kb_relative_information_score: 0.2357, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.5587, predictive_accuracy: 0.2918, prior_entropy: 2.8074, recall: 0.2918, relative_absolute_error: 0.8263, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4498, root_relative_squared_error: 1.2855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5874, f_measure: 0.3034, kappa: 0.1747, kb_relative_information_score: 0.2366, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.5588, predictive_accuracy: 0.2926, prior_entropy: 2.8074, recall: 0.2926, relative_absolute_error: 0.8253, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4496, root_relative_squared_error: 1.2847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.9492, kappa: 0.9404, kb_relative_information_score: 0.9449, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9517, predictive_accuracy: 0.9489, prior_entropy: 2.8074, recall: 0.9489, relative_absolute_error: 0.0596, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1208, root_relative_squared_error: 0.3452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kappa: -0.0152, kb_relative_information_score: 0.0609, mean_absolute_error: 0.2486, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, predictive_accuracy: 0.1299, prior_entropy: 2.8074, recall: 0.1299, relative_absolute_error: 1.0152, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.4249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.859, kappa: 0.8172, kb_relative_information_score: 0.8309, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9129, predictive_accuracy: 0.8433, prior_entropy: 2.8074, recall: 0.8433, relative_absolute_error: 0.1828, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.6047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4823, f_measure: 0.1049, kappa: -0.0354, kb_relative_information_score: 0.0423, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.1293, predictive_accuracy: 0.1126, prior_entropy: 2.8074, recall: 0.1126, relative_absolute_error: 1.0354, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.5035, root_relative_squared_error: 1.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9598, kappa: 0.953, kb_relative_information_score: 0.9566, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9606, predictive_accuracy: 0.9597, prior_entropy: 2.8074, recall: 0.9597, relative_absolute_error: 0.047, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1073, root_relative_squared_error: 0.3065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5874, f_measure: 0.3034, kappa: 0.1747, kb_relative_information_score: 0.2366, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.5588, predictive_accuracy: 0.2926, prior_entropy: 2.8074, recall: 0.2926, relative_absolute_error: 0.8253, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4496, root_relative_squared_error: 1.2847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.9005, kappa: 0.8758, kb_relative_information_score: 0.8851, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.926, predictive_accuracy: 0.8935, prior_entropy: 2.8074, recall: 0.8935, relative_absolute_error: 0.1242, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.4985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9538, kappa: 0.946, kb_relative_information_score: 0.95, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9554, predictive_accuracy: 0.9537, prior_entropy: 2.8074, recall: 0.9537, relative_absolute_error: 0.054, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.115, root_relative_squared_error: 0.3288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9627, kappa: 0.9566, kb_relative_information_score: 0.9598, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9631, predictive_accuracy: 0.9628, prior_entropy: 2.8074, recall: 0.9628, relative_absolute_error: 0.0434, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1031, root_relative_squared_error: 0.2947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6422, f_measure: 0.4153, kappa: 0.2843, kb_relative_information_score: 0.338, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8736, predictive_accuracy: 0.3866, prior_entropy: 2.8074, recall: 0.3866, relative_absolute_error: 0.7157, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4186, root_relative_squared_error: 1.1964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9645, kappa: 0.9586, kb_relative_information_score: 0.9617, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9652, predictive_accuracy: 0.9645, prior_entropy: 2.8074, recall: 0.9645, relative_absolute_error: 0.0414, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.2878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9771, kappa: 0.9732, kb_relative_information_score: 0.9752, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9773, predictive_accuracy: 0.9771, prior_entropy: 2.8074, recall: 0.9771, relative_absolute_error: 0.0268, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.081, root_relative_squared_error: 0.2314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9542, kappa: 0.9465, kb_relative_information_score: 0.9505, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9561, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.0535, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.3272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5919, f_measure: 0.3137, kappa: 0.1838, kb_relative_information_score: 0.245, mean_absolute_error: 0.1999, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.559, predictive_accuracy: 0.3004, prior_entropy: 2.8074, recall: 0.3004, relative_absolute_error: 0.8162, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4471, root_relative_squared_error: 1.2776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, f_measure: 0.7906, kappa: 0.747, kb_relative_information_score: 0.7659, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8355, predictive_accuracy: 0.7831, prior_entropy: 2.8074, recall: 0.7831, relative_absolute_error: 0.253, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2489, root_relative_squared_error: 0.7114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, predictive_accuracy: 0.1429, prior_entropy: 2.8074, recall: 0.1429, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6692, f_measure: 0.4664, kappa: 0.3384, kb_relative_information_score: 0.388, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8038, predictive_accuracy: 0.4329, prior_entropy: 2.8074, recall: 0.4329, relative_absolute_error: 0.6616, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4025, root_relative_squared_error: 1.1503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, predictive_accuracy: 0.1429, prior_entropy: 2.8074, recall: 0.1429, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9532, kappa: 0.9455, kb_relative_information_score: 0.9495, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9538, predictive_accuracy: 0.9532, prior_entropy: 2.8074, recall: 0.9532, relative_absolute_error: 0.0545, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1156, root_relative_squared_error: 0.3303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7063, f_measure: 0.5376, kappa: 0.4126, kb_relative_information_score: 0.4567, mean_absolute_error: 0.1438, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.7125, predictive_accuracy: 0.4965, prior_entropy: 2.8074, recall: 0.4965, relative_absolute_error: 0.5874, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3793, root_relative_squared_error: 1.0839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, f_measure: 0.7906, kappa: 0.747, kb_relative_information_score: 0.7659, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8355, predictive_accuracy: 0.7831, prior_entropy: 2.8074, recall: 0.7831, relative_absolute_error: 0.253, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2489, root_relative_squared_error: 0.7114,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9598, kappa: 0.953, kb_relative_information_score: 0.9566, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9606, predictive_accuracy: 0.9597, prior_entropy: 2.8074, recall: 0.9597, relative_absolute_error: 0.047, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1073, root_relative_squared_error: 0.3065,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, predictive_accuracy: 0.1429, prior_entropy: 2.8074, recall: 0.1429, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, predictive_accuracy: 0.1429, prior_entropy: 2.8074, recall: 0.1429, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.4142,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, predictive_accuracy: 0.1429, prior_entropy: 2.8074, recall: 0.1429, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.4142,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.965, kappa: 0.9591, kb_relative_information_score: 0.9622, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9656, predictive_accuracy: 0.9649, prior_entropy: 2.8074, recall: 0.9649, relative_absolute_error: 0.0409, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1001, root_relative_squared_error: 0.286,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, predictive_accuracy: 0.1429, prior_entropy: 2.8074, recall: 0.1429, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4513, f_measure: 0.0666, kappa: -0.0975, kb_relative_information_score: -0.0152, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.1103, predictive_accuracy: 0.0593, prior_entropy: 2.8074, recall: 0.0593, relative_absolute_error: 1.0975, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.5184, root_relative_squared_error: 1.4815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, predictive_accuracy: 0.1429, prior_entropy: 2.8074, recall: 0.1429, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9556, kappa: 0.948, kb_relative_information_score: 0.9519, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9575, predictive_accuracy: 0.9554, prior_entropy: 2.8074, recall: 0.9554, relative_absolute_error: 0.052, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1129, root_relative_squared_error: 0.3226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, predictive_accuracy: 0.1429, prior_entropy: 2.8074, recall: 0.1429, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7707, f_measure: 0.6454, kappa: 0.5414, kb_relative_information_score: 0.5758, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8029, predictive_accuracy: 0.6069, prior_entropy: 2.8074, recall: 0.6069, relative_absolute_error: 0.4586, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3351, root_relative_squared_error: 0.9577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4513, f_measure: 0.0666, kappa: -0.0975, kb_relative_information_score: -0.0152, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.1103, predictive_accuracy: 0.0593, prior_entropy: 2.8074, recall: 0.0593, relative_absolute_error: 1.0975, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.5184, root_relative_squared_error: 1.4815,

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