Run
385748

Run 385748

Task 57 (Supervised Classification) ionosphere Uploaded 05-04-2015 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
0.9822
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9282
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8428
Cross-validation details (10-fold Crossvalidation)
KB relative information score
260.0092
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1301
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4604
Cross-validation details (10-fold Crossvalidation)
Number of instances
351
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
0.9289
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9288
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9425
Cross-validation details (10-fold Crossvalidation)
Recall
0.9288
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2825
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4797
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2286
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4765
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
942.3809
UserCPU time millis
150
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
140
Cross-validation details (10-fold Crossvalidation)