Run
OpenML
Help
Sign in
×
Sign in
No account? Join OpenML
Forgot password
×
JavaScript is required to properly view the contents of this page!
OpenML
Explore
Data
Task
Flow
Run
Study
Task type
Measure
People
Help
Blog
Contact
Please cite us
9093287
JSON
XML
RDF
Run 9093287
Task 12 (Supervised Classification)
mfeat-factors
Uploaded 14-04-2018 by
Hilde Weerts
0 likes
downloaded by 0 people
0 issues
0 downvotes
, 0 total downloads
Evaluation Engine Exception: Run description file not present.
Add tag
Issue
#Downvotes for this reason
By
Flow
sklearn.pipeline.Pipeline(imputation=hyperimp.utils.preprocessing.Condition alImputer2,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethr eshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=s klearn.ensemble.forest.RandomForestClassifier)(1)
Automatically created scikit-learn flow.
sklearn.preprocessing.data.OneHotEncoder(17)_categorical_features
[]
sklearn.preprocessing.data.OneHotEncoder(17)_dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing.data.OneHotEncoder(17)_handle_unknown
"ignore"
sklearn.preprocessing.data.OneHotEncoder(17)_n_values
"auto"
sklearn.preprocessing.data.OneHotEncoder(17)_sparse
true
sklearn.feature_selection.variance_threshold.VarianceThreshold(11)_threshold
0.0
sklearn.ensemble.forest.RandomForestClassifier(32)_bootstrap
false
sklearn.ensemble.forest.RandomForestClassifier(32)_class_weight
null
sklearn.ensemble.forest.RandomForestClassifier(32)_criterion
"gini"
sklearn.ensemble.forest.RandomForestClassifier(32)_max_depth
null
sklearn.ensemble.forest.RandomForestClassifier(32)_max_features
0.4516075421549932
sklearn.ensemble.forest.RandomForestClassifier(32)_max_leaf_nodes
null
sklearn.ensemble.forest.RandomForestClassifier(32)_min_impurity_decrease
0.0
sklearn.ensemble.forest.RandomForestClassifier(32)_min_impurity_split
null
sklearn.ensemble.forest.RandomForestClassifier(32)_min_samples_leaf
16
sklearn.ensemble.forest.RandomForestClassifier(32)_min_samples_split
3
sklearn.ensemble.forest.RandomForestClassifier(32)_min_weight_fraction_leaf
0.0
sklearn.ensemble.forest.RandomForestClassifier(32)_n_estimators
300
sklearn.ensemble.forest.RandomForestClassifier(32)_n_jobs
1
sklearn.ensemble.forest.RandomForestClassifier(32)_oob_score
false
sklearn.ensemble.forest.RandomForestClassifier(32)_random_state
1483
sklearn.ensemble.forest.RandomForestClassifier(32)_verbose
0
sklearn.ensemble.forest.RandomForestClassifier(32)_warm_start
false
sklearn.pipeline.Pipeline(imputation=hyperimp.utils.preprocessing.ConditionalImputer2,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.ensemble.forest.RandomForestClassifier)(1)_memory
null
hyperimp.utils.preprocessing.ConditionalImputer2(1)_axis
0
hyperimp.utils.preprocessing.ConditionalImputer2(1)_categorical_features
[]
hyperimp.utils.preprocessing.ConditionalImputer2(1)_copy
true
hyperimp.utils.preprocessing.ConditionalImputer2(1)_fill_empty
0
hyperimp.utils.preprocessing.ConditionalImputer2(1)_missing_values
"NaN"
hyperimp.utils.preprocessing.ConditionalImputer2(1)_strategy
"mean"
hyperimp.utils.preprocessing.ConditionalImputer2(1)_strategy_nominal
"most_frequent"
hyperimp.utils.preprocessing.ConditionalImputer2(1)_verbose
0
Result files
0 Evaluation measures