Run
1672947

Run 1672947

Task 3481 (Supervised Classification) isolet Uploaded 21-07-2016 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Bagging_RandomForest(9)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.RandomForest(9)_I100
weka.RandomForest(9)_K0
weka.RandomForest(9)_S1
weka.RandomForest(9)_num-slots1
weka.Bagging_RandomForest(9)_P100
weka.Bagging_RandomForest(9)_S1
weka.Bagging_RandomForest(9)_num-slots1
weka.Bagging_RandomForest(9)_I10
weka.Bagging_RandomForest(9)_Wweka.classifiers.trees.RandomForest

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.9982
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9405
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9381
Cross-validation details (10-fold Crossvalidation)
KB relative information score
6462.7572
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0295
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.074
Cross-validation details (10-fold Crossvalidation)
Number of instances
7797
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9412
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9405
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.7004
Cross-validation details (10-fold Crossvalidation)
Recall
0.9405
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3987
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1923
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0935
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4861
Cross-validation details (10-fold Crossvalidation)