Run
463605

Run 463605

Task 48 (Supervised Classification) heart-c Uploaded 09-07-2015 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
0.9014
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8275
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6515
Cross-validation details (10-fold Crossvalidation)
KB relative information score
142.6719
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1061
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2004
Cross-validation details (10-fold Crossvalidation)
Number of instances
303
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
0.8293
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8284
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.0792
Cross-validation details (10-fold Crossvalidation)
Recall
0.8284
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5293
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.315
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2237
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7103
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
931.771
UserCPU time millis
90
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
20
UserCPU time millis training
70
Cross-validation details (10-fold Crossvalidation)