Run
319995

Run 319995

Task 3011 (Supervised Classification) hypothyroid Uploaded 24-03-2015 by Joaquin Vanschoren
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Flow

weka.RandomForest(5)Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
weka.RandomForest(5)_I100
weka.RandomForest(5)_K0
weka.RandomForest(5)_S1
weka.RandomForest(5)_num-slots1

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.

22 Evaluation measures

Area under ROC curve
0.9991
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9947
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9658
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3087.793
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0141
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0729
Cross-validation details (10-fold Crossvalidation)
Number of instances
3772
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9946
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.995
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.4715
Cross-validation details (10-fold Crossvalidation)
Recall
0.995
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.194
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1904
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0614
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3225
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
942.9708
UserCPU time millis
1080
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
210
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
870
Cross-validation details (10-fold Crossvalidation)