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
8886702
JSON
XML
RDF
Run 8886702
Task 167132 (Supervised Classification)
Speech
Uploaded 17-03-2018 by
Jeroen Ubbink
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(dimension_reduction=sklearn.decomposition.pca.PCA ,scaler=sklearn.preprocessing.data.MinMaxScaler,forest=sklearn.ensemble.for est.RandomForestClassifier)(1)
Automatically created scikit-learn flow.
sklearn.ensemble.forest.RandomForestClassifier(32)_bootstrap
true
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
"auto"
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
1
sklearn.ensemble.forest.RandomForestClassifier(32)_min_samples_split
2
sklearn.ensemble.forest.RandomForestClassifier(32)_min_weight_fraction_leaf
0.0
sklearn.ensemble.forest.RandomForestClassifier(32)_n_estimators
2
sklearn.ensemble.forest.RandomForestClassifier(32)_n_jobs
-1
sklearn.ensemble.forest.RandomForestClassifier(32)_oob_score
false
sklearn.ensemble.forest.RandomForestClassifier(32)_random_state
2
sklearn.ensemble.forest.RandomForestClassifier(32)_verbose
0
sklearn.ensemble.forest.RandomForestClassifier(32)_warm_start
false
sklearn.preprocessing.data.MinMaxScaler(3)_copy
true
sklearn.preprocessing.data.MinMaxScaler(3)_feature_range
[0, 1]
sklearn.decomposition.pca.PCA(2)_copy
true
sklearn.decomposition.pca.PCA(2)_iterated_power
"auto"
sklearn.decomposition.pca.PCA(2)_n_components
0.4
sklearn.decomposition.pca.PCA(2)_random_state
44665
sklearn.decomposition.pca.PCA(2)_svd_solver
"auto"
sklearn.decomposition.pca.PCA(2)_tol
0.0
sklearn.decomposition.pca.PCA(2)_whiten
false
sklearn.pipeline.Pipeline(dimension_reduction=sklearn.decomposition.pca.PCA,scaler=sklearn.preprocessing.data.MinMaxScaler,forest=sklearn.ensemble.forest.RandomForestClassifier)(1)_memory
null
Result files
0 Evaluation measures