Run
1672811

Run 1672811

Task 18 (Supervised Classification) mfeat-morphological 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
0.9593
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7057
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6744
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1481.9953
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0682
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7063
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.707
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.707
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.379
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1953
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6509
Cross-validation details (10-fold Crossvalidation)