Task
Supervised Classification on scene

Supervised Classification on scene

Task 3485 Supervised Classification scene 86996 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_7 under100k under1m
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86996 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9874, kappa: 0.9567, kb_relative_information_score: 2080.6955, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9876, predictive_accuracy: 0.9875, prior_entropy: 0.6786, recall: 0.9875, relative_absolute_error: 0.1594, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1196, root_relative_squared_error: 0.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.9448, kappa: 0.8061, kb_relative_information_score: 1665.315, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.946, predictive_accuracy: 0.9468, prior_entropy: 0.6786, recall: 0.9468, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.5704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.9629, kappa: 0.8719, kb_relative_information_score: 1957.2697, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9629, predictive_accuracy: 0.9634, prior_entropy: 0.6786, recall: 0.9634, relative_absolute_error: 0.1557, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.4598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.9476, kappa: 0.8178, kb_relative_information_score: 1741.9428, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9478, predictive_accuracy: 0.9489, prior_entropy: 0.6786, recall: 0.9489, relative_absolute_error: 0.2304, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.5614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.9478, kappa: 0.8165, kb_relative_information_score: 1715.8219, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9492, predictive_accuracy: 0.9497, prior_entropy: 0.6786, recall: 0.9497, relative_absolute_error: 0.2399, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.5573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.9632, kappa: 0.8728, kb_relative_information_score: 1953.8915, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9634, predictive_accuracy: 0.9639, prior_entropy: 0.6786, recall: 0.9639, relative_absolute_error: 0.158, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.4625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.9637, kappa: 0.8748, kb_relative_information_score: 1970.2018, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9638, predictive_accuracy: 0.9643, prior_entropy: 0.6786, recall: 0.9643, relative_absolute_error: 0.1525, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.4601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.9629, kappa: 0.8719, kb_relative_information_score: 1952.1106, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9629, predictive_accuracy: 0.9634, prior_entropy: 0.6786, recall: 0.9634, relative_absolute_error: 0.1577, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.4656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.9637, kappa: 0.8748, kb_relative_information_score: 1974.631, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9638, predictive_accuracy: 0.9643, prior_entropy: 0.6786, recall: 0.9643, relative_absolute_error: 0.1506, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.4577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.9654, kappa: 0.8804, kb_relative_information_score: 1954.6035, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9655, predictive_accuracy: 0.9659, prior_entropy: 0.6786, recall: 0.9659, relative_absolute_error: 0.1548, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.4659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.9639, kappa: 0.8758, kb_relative_information_score: 2005.4075, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9638, predictive_accuracy: 0.9643, prior_entropy: 0.6786, recall: 0.9643, relative_absolute_error: 0.1346, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.4787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.9482, kappa: 0.8179, kb_relative_information_score: 1722.957, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9497, predictive_accuracy: 0.9501, prior_entropy: 0.6786, recall: 0.9501, relative_absolute_error: 0.239, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.5539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.9483, kappa: 0.8186, kb_relative_information_score: 1752.5678, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9495, predictive_accuracy: 0.9501, prior_entropy: 0.6786, recall: 0.9501, relative_absolute_error: 0.2292, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.5507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.9483, kappa: 0.8186, kb_relative_information_score: 1749.2721, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9495, predictive_accuracy: 0.9501, prior_entropy: 0.6786, recall: 0.9501, relative_absolute_error: 0.2309, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.5495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.9642, kappa: 0.8769, kb_relative_information_score: 1998.5997, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9642, predictive_accuracy: 0.9647, prior_entropy: 0.6786, recall: 0.9647, relative_absolute_error: 0.1356, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.4789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.9637, kappa: 0.8748, kb_relative_information_score: 1973.0208, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9638, predictive_accuracy: 0.9643, prior_entropy: 0.6786, recall: 0.9643, relative_absolute_error: 0.1519, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.4602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.9633, kappa: 0.8733, kb_relative_information_score: 1956.9441, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9633, predictive_accuracy: 0.9639, prior_entropy: 0.6786, recall: 0.9639, relative_absolute_error: 0.1565, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.176, root_relative_squared_error: 0.4589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.9467, kappa: 0.8144, kb_relative_information_score: 1746.734, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9469, predictive_accuracy: 0.9481, prior_entropy: 0.6786, recall: 0.9481, relative_absolute_error: 0.228, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.5637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.9654, kappa: 0.8809, kb_relative_information_score: 1982.6199, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9655, predictive_accuracy: 0.9659, prior_entropy: 0.6786, recall: 0.9659, relative_absolute_error: 0.1407, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.4595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.9477, kappa: 0.8162, kb_relative_information_score: 1732.0944, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9493, predictive_accuracy: 0.9497, prior_entropy: 0.6786, recall: 0.9497, relative_absolute_error: 0.2355, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.5507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.9386, kappa: 0.7872, kb_relative_information_score: 1682.8722, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9383, predictive_accuracy: 0.9398, prior_entropy: 0.6786, recall: 0.9398, relative_absolute_error: 0.2411, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.6036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, f_measure: 0.9633, kappa: 0.8733, kb_relative_information_score: 1959.4775, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9633, predictive_accuracy: 0.9639, prior_entropy: 0.6786, recall: 0.9639, relative_absolute_error: 0.1561, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.4608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.9633, kappa: 0.8733, kb_relative_information_score: 1957.0102, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9633, predictive_accuracy: 0.9639, prior_entropy: 0.6786, recall: 0.9639, relative_absolute_error: 0.1562, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.4615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.9368, kappa: 0.7821, kb_relative_information_score: 1683.038, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9364, predictive_accuracy: 0.9377, prior_entropy: 0.6786, recall: 0.9377, relative_absolute_error: 0.2397, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2377, root_relative_squared_error: 0.6199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.9619, kappa: 0.8692, kb_relative_information_score: 1972.4821, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9617, predictive_accuracy: 0.9622, prior_entropy: 0.6786, recall: 0.9622, relative_absolute_error: 0.1439, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.4972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.9426, kappa: 0.8004, kb_relative_information_score: 1714.5147, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9425, predictive_accuracy: 0.9439, prior_entropy: 0.6786, recall: 0.9439, relative_absolute_error: 0.2331, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.223, root_relative_squared_error: 0.5817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.9633, kappa: 0.8733, kb_relative_information_score: 1960.8808, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9633, predictive_accuracy: 0.9639, prior_entropy: 0.6786, recall: 0.9639, relative_absolute_error: 0.1551, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.9614, kappa: 0.8676, kb_relative_information_score: 1979.1181, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9613, predictive_accuracy: 0.9618, prior_entropy: 0.6786, recall: 0.9618, relative_absolute_error: 0.1427, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.4965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.9663, kappa: 0.8838, kb_relative_information_score: 1996.1157, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9663, predictive_accuracy: 0.9668, prior_entropy: 0.6786, recall: 0.9668, relative_absolute_error: 0.1355, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.4611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.9667, kappa: 0.8853, kb_relative_information_score: 2011.3332, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9668, predictive_accuracy: 0.9672, prior_entropy: 0.6786, recall: 0.9672, relative_absolute_error: 0.1313, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.4647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.9642, kappa: 0.8769, kb_relative_information_score: 2004.426, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9642, predictive_accuracy: 0.9647, prior_entropy: 0.6786, recall: 0.9647, relative_absolute_error: 0.134, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.4777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.9412, kappa: 0.7968, kb_relative_information_score: 1715.5174, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9409, predictive_accuracy: 0.9423, prior_entropy: 0.6786, recall: 0.9423, relative_absolute_error: 0.2289, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.6169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, f_measure: 0.9611, kappa: 0.8668, kb_relative_information_score: 1992.9251, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9609, predictive_accuracy: 0.9614, prior_entropy: 0.6786, recall: 0.9614, relative_absolute_error: 0.1406, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.936, kappa: 0.7796, kb_relative_information_score: 1696.3432, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9356, predictive_accuracy: 0.9369, prior_entropy: 0.6786, recall: 0.9369, relative_absolute_error: 0.2415, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2455, root_relative_squared_error: 0.6403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.9416, kappa: 0.798, kb_relative_information_score: 1696.4934, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9413, predictive_accuracy: 0.9427, prior_entropy: 0.6786, recall: 0.9427, relative_absolute_error: 0.2361, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.232, root_relative_squared_error: 0.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.9375, kappa: 0.7842, kb_relative_information_score: 1668.476, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9371, predictive_accuracy: 0.9385, prior_entropy: 0.6786, recall: 0.9385, relative_absolute_error: 0.2427, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2442, root_relative_squared_error: 0.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.9654, kappa: 0.8809, kb_relative_information_score: 1984.5007, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9655, predictive_accuracy: 0.9659, prior_entropy: 0.6786, recall: 0.9659, relative_absolute_error: 0.139, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.4578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.9658, kappa: 0.882, kb_relative_information_score: 1960.1378, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9659, predictive_accuracy: 0.9663, prior_entropy: 0.6786, recall: 0.9663, relative_absolute_error: 0.1528, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.4587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.965, kappa: 0.8795, kb_relative_information_score: 1991.8463, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.965, predictive_accuracy: 0.9655, prior_entropy: 0.6786, recall: 0.9655, relative_absolute_error: 0.1383, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.4602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.9626, kappa: 0.8711, kb_relative_information_score: 1964.105, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9625, predictive_accuracy: 0.963, prior_entropy: 0.6786, recall: 0.963, relative_absolute_error: 0.1536, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.179, root_relative_squared_error: 0.4668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.9611, kappa: 0.8665, kb_relative_information_score: 1999.8121, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9609, predictive_accuracy: 0.9614, prior_entropy: 0.6786, recall: 0.9614, relative_absolute_error: 0.1384, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.5124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.9641, kappa: 0.8762, kb_relative_information_score: 1969.9772, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9642, predictive_accuracy: 0.9647, prior_entropy: 0.6786, recall: 0.9647, relative_absolute_error: 0.1528, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.4612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.9471, kappa: 0.8146, kb_relative_information_score: 1733.5324, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9481, predictive_accuracy: 0.9489, prior_entropy: 0.6786, recall: 0.9489, relative_absolute_error: 0.2352, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.5611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.941, kappa: 0.7956, kb_relative_information_score: 1725.4014, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9408, predictive_accuracy: 0.9423, prior_entropy: 0.6786, recall: 0.9423, relative_absolute_error: 0.2301, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.5782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.9646, kappa: 0.8782, kb_relative_information_score: 1986.6852, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9646, predictive_accuracy: 0.9651, prior_entropy: 0.6786, recall: 0.9651, relative_absolute_error: 0.1377, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.4671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.9487, kappa: 0.8199, kb_relative_information_score: 1753.3176, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.95, predictive_accuracy: 0.9506, prior_entropy: 0.6786, recall: 0.9506, relative_absolute_error: 0.2296, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.211, root_relative_squared_error: 0.5504,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.9659, kappa: 0.8822, kb_relative_information_score: 1976.5806, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9659, predictive_accuracy: 0.9663, prior_entropy: 0.6786, recall: 0.9663, relative_absolute_error: 0.1425, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.4697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, f_measure: 0.9436, kappa: 0.8035, kb_relative_information_score: 1688.3615, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9439, predictive_accuracy: 0.9452, prior_entropy: 0.6786, recall: 0.9452, relative_absolute_error: 0.2374, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2302, root_relative_squared_error: 0.6004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.9392, kappa: 0.79, kb_relative_information_score: 1696.7716, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9388, predictive_accuracy: 0.9402, prior_entropy: 0.6786, recall: 0.9402, relative_absolute_error: 0.2356, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.6145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.9398, kappa: 0.7914, kb_relative_information_score: 1723.6828, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9396, predictive_accuracy: 0.941, prior_entropy: 0.6786, recall: 0.941, relative_absolute_error: 0.2317, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.223, root_relative_squared_error: 0.5815,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.9433, kappa: 0.8035, kb_relative_information_score: 1709.7375, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.943, predictive_accuracy: 0.9443, prior_entropy: 0.6786, recall: 0.9443, relative_absolute_error: 0.2324, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.601,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.9474, kappa: 0.8152, kb_relative_information_score: 1726.2918, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9487, predictive_accuracy: 0.9493, prior_entropy: 0.6786, recall: 0.9493, relative_absolute_error: 0.2364, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.5549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.9654, kappa: 0.8809, kb_relative_information_score: 1993.064, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9655, predictive_accuracy: 0.9659, prior_entropy: 0.6786, recall: 0.9659, relative_absolute_error: 0.1391, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.4582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8985, f_measure: 0.9391, kappa: 0.7892, kb_relative_information_score: 1696.2874, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9388, predictive_accuracy: 0.9402, prior_entropy: 0.6786, recall: 0.9402, relative_absolute_error: 0.2376, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.5987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.9645, kappa: 0.8775, kb_relative_information_score: 1952.1921, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9646, predictive_accuracy: 0.9651, prior_entropy: 0.6786, recall: 0.9651, relative_absolute_error: 0.1552, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.4675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.9618, kappa: 0.8689, kb_relative_information_score: 1974.3344, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9617, predictive_accuracy: 0.9622, prior_entropy: 0.6786, recall: 0.9622, relative_absolute_error: 0.1432, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.4863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.9482, kappa: 0.8179, kb_relative_information_score: 1720.5395, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9497, predictive_accuracy: 0.9501, prior_entropy: 0.6786, recall: 0.9501, relative_absolute_error: 0.2397, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.213, root_relative_squared_error: 0.5555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.9663, kappa: 0.8836, kb_relative_information_score: 1994.7127, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9663, predictive_accuracy: 0.9668, prior_entropy: 0.6786, recall: 0.9668, relative_absolute_error: 0.1365, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.4634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.9418, kappa: 0.7982, kb_relative_information_score: 1681.1864, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9417, predictive_accuracy: 0.9431, prior_entropy: 0.6786, recall: 0.9431, relative_absolute_error: 0.239, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2374, root_relative_squared_error: 0.6191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.946, kappa: 0.8101, kb_relative_information_score: 1697.9122, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9475, predictive_accuracy: 0.9481, prior_entropy: 0.6786, recall: 0.9481, relative_absolute_error: 0.2479, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.5613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.9477, kappa: 0.8162, kb_relative_information_score: 1713.0249, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9493, predictive_accuracy: 0.9497, prior_entropy: 0.6786, recall: 0.9497, relative_absolute_error: 0.2402, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.5557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.9482, kappa: 0.8179, kb_relative_information_score: 1726.2854, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9497, predictive_accuracy: 0.9501, prior_entropy: 0.6786, recall: 0.9501, relative_absolute_error: 0.2386, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.5554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.9477, kappa: 0.8162, kb_relative_information_score: 1712.6214, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9493, predictive_accuracy: 0.9497, prior_entropy: 0.6786, recall: 0.9497, relative_absolute_error: 0.2411, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.214, root_relative_squared_error: 0.5582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.9492, kappa: 0.8216, kb_relative_information_score: 1741.2453, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9504, predictive_accuracy: 0.951, prior_entropy: 0.6786, recall: 0.951, relative_absolute_error: 0.2329, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.5509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9418, f_measure: 0.9629, kappa: 0.8719, kb_relative_information_score: 1957.9358, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9629, predictive_accuracy: 0.9634, prior_entropy: 0.6786, recall: 0.9634, relative_absolute_error: 0.1561, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.4641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.9667, kappa: 0.8849, kb_relative_information_score: 2004.2176, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9668, predictive_accuracy: 0.9672, prior_entropy: 0.6786, recall: 0.9672, relative_absolute_error: 0.1321, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.4629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.9623, kappa: 0.8705, kb_relative_information_score: 1984.6332, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9621, predictive_accuracy: 0.9626, prior_entropy: 0.6786, recall: 0.9626, relative_absolute_error: 0.1402, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.4881,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.9633, kappa: 0.8733, kb_relative_information_score: 1955.3872, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9633, predictive_accuracy: 0.9639, prior_entropy: 0.6786, recall: 0.9639, relative_absolute_error: 0.1573, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.4588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.9615, kappa: 0.8678, kb_relative_information_score: 2017.4426, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9613, predictive_accuracy: 0.9618, prior_entropy: 0.6786, recall: 0.9618, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.193, root_relative_squared_error: 0.5034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.9424, kappa: 0.8006, kb_relative_information_score: 1704.3385, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9422, predictive_accuracy: 0.9435, prior_entropy: 0.6786, recall: 0.9435, relative_absolute_error: 0.2329, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.599,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.9427, kappa: 0.8011, kb_relative_information_score: 1685.8512, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9426, predictive_accuracy: 0.9439, prior_entropy: 0.6786, recall: 0.9439, relative_absolute_error: 0.2392, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.618,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9225, f_measure: 0.9477, kappa: 0.8162, kb_relative_information_score: 1727.7369, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9493, predictive_accuracy: 0.9497, prior_entropy: 0.6786, recall: 0.9497, relative_absolute_error: 0.2371, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.5505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.9465, kappa: 0.8118, kb_relative_information_score: 1702.2435, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9479, predictive_accuracy: 0.9485, prior_entropy: 0.6786, recall: 0.9485, relative_absolute_error: 0.2466, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.5577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.948, kappa: 0.8176, kb_relative_information_score: 1737.6051, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.949, predictive_accuracy: 0.9497, prior_entropy: 0.6786, recall: 0.9497, relative_absolute_error: 0.2331, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.5603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.9628, kappa: 0.8727, kb_relative_information_score: 2014.6188, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9627, predictive_accuracy: 0.963, prior_entropy: 0.6786, recall: 0.963, relative_absolute_error: 0.133, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.4842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.9383, kappa: 0.7867, kb_relative_information_score: 1681.5955, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9379, predictive_accuracy: 0.9393, prior_entropy: 0.6786, recall: 0.9393, relative_absolute_error: 0.2418, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.6073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.9647, kappa: 0.8787, kb_relative_information_score: 2004.0455, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9646, predictive_accuracy: 0.9651, prior_entropy: 0.6786, recall: 0.9651, relative_absolute_error: 0.1339, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.4734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.9642, kappa: 0.8764, kb_relative_information_score: 1986.0446, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9642, predictive_accuracy: 0.9647, prior_entropy: 0.6786, recall: 0.9647, relative_absolute_error: 0.1421, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.4563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.9459, kappa: 0.8118, kb_relative_information_score: 1741.5964, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.946, predictive_accuracy: 0.9472, prior_entropy: 0.6786, recall: 0.9472, relative_absolute_error: 0.2264, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.5667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.9428, kappa: 0.8019, kb_relative_information_score: 1737.1302, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9426, predictive_accuracy: 0.9439, prior_entropy: 0.6786, recall: 0.9439, relative_absolute_error: 0.2263, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.5762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.9639, kappa: 0.876, kb_relative_information_score: 1992.8139, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9638, predictive_accuracy: 0.9643, prior_entropy: 0.6786, recall: 0.9643, relative_absolute_error: 0.1367, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.4678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.9444, kappa: 0.8048, kb_relative_information_score: 1662.7139, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9455, predictive_accuracy: 0.9464, prior_entropy: 0.6786, recall: 0.9464, relative_absolute_error: 0.2602, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.5697,

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