6032899
1
Jan van Rijn
9960
Supervised Classification
6970
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier))(1)
4067583
class_weight
null
6941
criterion
"gini"
6941
max_depth
1
6941
max_features
null
6941
max_leaf_nodes
null
6941
min_impurity_split
1e-07
6941
min_samples_leaf
1
6941
min_samples_split
2
6941
min_weight_fraction_leaf
0.0
6941
presort
false
6941
random_state
20271
6941
splitter
"best"
6941
axis
0
6947
categorical_features
[]
6947
copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
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strategy
"most_frequent"
6947
strategy_nominal
"most_frequent"
6947
verbose
0
6947
categorical_features
[]
6948
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
6948
handle_unknown
"ignore"
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n_values
"auto"
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sparse
true
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threshold
0.0
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algorithm
"SAMME.R"
6971
learning_rate
0.15770290315958457
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n_estimators
290
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random_state
33890
6971
openml-pimp
openml-python
Sklearn_0.18.1.
study_71
1497
wall-robot-navigation
https://www.openml.org/data/download/1592289/phpVeNa5j
-1
12988859
description
https://api.openml.org/data/download/12988859/description.xml
-1
12988860
predictions
https://api.openml.org/data/download/12988860/predictions.arff
area_under_roc_curve
0.9335626667434735 [0.899839,0.976063,0.999514,0.8895]
average_cost
0
f_measure
0.6928341647513749 [0.756813,0.806188,0.919149,0.144397]
kappa
0.5732589412260133
kb_relative_information_score
2790.3385074946204
mean_absolute_error
0.18297384514110468
mean_prior_absolute_error
0.3312381502905654
number_of_instances
5456 [2205,2097,328,826]
precision
0.7776232968670845 [0.615516,0.982853,0.859416,0.656863]
predictive_accuracy
0.7313049853372433
prior_entropy
1.715110055559003
recall
0.7313049853372434 [0.982313,0.683357,0.987805,0.081114]
relative_absolute_error
0.5523936327400639
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.3145073407881483
root_relative_squared_error
0.7728525200158084
total_cost
0
area_under_roc_curve
0.9144321982315798 [0.931702,0.967333,0.99935,0.698236]
area_under_roc_curve
0.945761110247247 [0.913881,0.981626,0.997342,0.919076]
area_under_roc_curve
0.9568000171412546 [0.939354,0.983277,1,0.918876]
area_under_roc_curve
0.9446504977041689 [0.910464,0.983999,0.999941,0.913724]
area_under_roc_curve
0.9558636470842832 [0.929755,0.982355,0.999882,0.94054]
area_under_roc_curve
0.9463377166350467 [0.918649,0.975673,1,0.924172]
area_under_roc_curve
0.9397088319503764 [0.907343,0.97049,1,0.924373]
area_under_roc_curve
0.9527863920256888 [0.933607,0.975087,1,0.929497]
area_under_roc_curve
0.9431071687266329 [0.905103,0.985461,1,0.914687]
area_under_roc_curve
0.9408805893169437 [0.908916,0.983239,1,0.895275]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.5751474777658233 [0.711256,0.560811,0.864865,0.12844]
f_measure
0.5848762768552934 [0.694268,0.613861,0.84507,0.111111]
f_measure
0.7353657731181195 [0.781651,0.885417,0.942857,0.150538]
f_measure
0.7457892434754143 [0.794872,0.915601,0.985075,0.090909]
f_measure
0.7319763227926198 [0.782765,0.854054,0.916667,0.215054]
f_measure
0.7131762011173776 [0.778378,0.855615,0.88,0.113636]
f_measure
0.7170200419344451 [0.778761,0.846154,0.901408,0.155556]
f_measure
0.7535999846426032 [0.794776,0.905371,0.941176,0.189474]
f_measure
0.5921154502907154 [0.694969,0.592593,0.985075,0.155556]
f_measure
0.7340078897214607 [0.780847,0.888312,0.942857,0.130435]
kappa
0.4075751750001317
kappa
0.4151952830037112
kappa
0.6428240925408855
kappa
0.6697975370486328
kappa
0.6316670119356844
kappa
0.6169948186528497
kappa
0.6152035773123088
kappa
0.668151519036021
kappa
0.42303121961758666
kappa
0.6415968947486608
kb_relative_information_score
247.92736387126945
kb_relative_information_score
242.5298046314254
kb_relative_information_score
291.88479084564256
kb_relative_information_score
290.92412576672274
kb_relative_information_score
290.64099945195903
kb_relative_information_score
296.51177174162336
kb_relative_information_score
275.76281566656445
kb_relative_information_score
306.04516257022624
kb_relative_information_score
259.60577866940525
kb_relative_information_score
288.5058942798005
mean_absolute_error
0.1983890898191158
mean_absolute_error
0.2015397667320998
mean_absolute_error
0.17207759379950804
mean_absolute_error
0.17698806226847202
mean_absolute_error
0.17964657583942303
mean_absolute_error
0.17725817113402878
mean_absolute_error
0.18374139542467646
mean_absolute_error
0.16664039855627613
mean_absolute_error
0.19712678767181316
mean_absolute_error
0.17631582816793137
mean_prior_absolute_error
0.3311434139730841
mean_prior_absolute_error
0.3311434139730841
mean_prior_absolute_error
0.33137469978129297
mean_prior_absolute_error
0.33137469978129297
mean_prior_absolute_error
0.33137469978129297
mean_prior_absolute_error
0.33137469978129297
mean_prior_absolute_error
0.3311205766710351
mean_prior_absolute_error
0.3311024296804111
mean_prior_absolute_error
0.3311861074705109
mean_prior_absolute_error
0.3311861074705109
number_of_instances
546 [221,210,33,82]
number_of_instances
546 [221,210,33,82]
number_of_instances
546 [220,210,33,83]
number_of_instances
546 [220,210,33,83]
number_of_instances
546 [220,210,33,83]
number_of_instances
546 [220,210,33,83]
number_of_instances
545 [220,210,32,83]
number_of_instances
545 [221,209,32,83]
number_of_instances
545 [221,209,33,82]
number_of_instances
545 [221,209,33,82]
precision
0.6824044627277945 [0.556122,0.965116,0.780488,0.259259]
precision
0.7429965127333549 [0.535627,1,0.789474,0.625]
precision
0.8001638491028411 [0.655385,0.977011,0.891892,0.7]
precision
0.8288474131266788 [0.665644,0.98895,0.970588,0.8]
precision
0.8436128516161614 [0.646884,0.9875,0.846154,1]
precision
0.834537301241238 [0.644776,0.97561,0.785714,1]
precision
0.8432041565667413 [0.637681,1,0.820513,1]
precision
0.8135610668638191 [0.67619,0.972527,0.888889,0.75]
precision
0.7898505842040585 [0.53253,1,0.970588,0.875]
precision
0.7838496110504487 [0.658385,0.971591,0.891892,0.6]
predictive_accuracy
0.6227106227106227
predictive_accuracy
0.6336996336996337
predictive_accuracy
0.7747252747252747
predictive_accuracy
0.793040293040293
predictive_accuracy
0.7673992673992674
predictive_accuracy
0.7582417582417582
predictive_accuracy
0.7577981651376148
predictive_accuracy
0.7908256880733946
predictive_accuracy
0.6403669724770643
predictive_accuracy
0.7743119266055046
prior_entropy
1.715110055559003
prior_entropy
1.715110055559003
prior_entropy
1.715110055559003
prior_entropy
1.715110055559003
prior_entropy
1.715110055559003
prior_entropy
1.715110055559003
prior_entropy
1.715110055559003
prior_entropy
1.715110055559003
prior_entropy
1.715110055559003
prior_entropy
1.715110055559003
recall
0.6227106227106227 [0.986425,0.395238,0.969697,0.085366]
recall
0.6336996336996337 [0.986425,0.442857,0.909091,0.060976]
recall
0.7747252747252747 [0.968182,0.809524,1,0.084337]
recall
0.793040293040293 [0.986364,0.852381,1,0.048193]
recall
0.7673992673992674 [0.990909,0.752381,1,0.120482]
recall
0.7582417582417582 [0.981818,0.761905,1,0.060241]
recall
0.7577981651376147 [1,0.733333,1,0.084337]
recall
0.7908256880733945 [0.963801,0.84689,1,0.108434]
recall
0.6403669724770642 [1,0.421053,1,0.085366]
recall
0.7743119266055046 [0.959276,0.818182,1,0.073171]
relative_absolute_error
0.5991032327619875
relative_absolute_error
0.6086177717201445
relative_absolute_error
0.5192840428465997
relative_absolute_error
0.534102520154025
relative_absolute_error
0.5421252013445493
relative_absolute_error
0.5349176362921462
relative_absolute_error
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relative_absolute_error
0.5032895672711369
relative_absolute_error
0.5952145431986923
relative_absolute_error
0.5323768847509122
root_mean_prior_squared_error
0.4068271240296317
root_mean_prior_squared_error
0.4068271240296317
root_mean_prior_squared_error
0.40711128043132166
root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
0.40711128043132166
root_mean_prior_squared_error
0.4067990554858411
root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
0.7508998753600816
root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
0.7461526522461333
total_cost
0
total_cost
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total_cost
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total_cost
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total_cost
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total_cost
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total_cost
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total_cost
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total_cost
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total_cost
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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