Run
9911

Run 9911

Task 47 (Supervised Classification) tae Uploaded 22-05-2014 by Joaquin Vanschoren
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Flow

weka.RandomForest(1)Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
weka.RandomForest(1)_I101
weka.RandomForest(1)_K0
weka.RandomForest(1)_S1
weka.RandomForest(1)_num-slots1

Result files

xml
Description

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

arff
Predictions

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

19 Evaluation measures

Area under ROC curve
0.8173
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6952
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5428
Cross-validation details (10-fold Crossvalidation)
KB relative information score
65.6044
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2897
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4443
Cross-validation details (10-fold Crossvalidation)
Number of instances
151
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
0.6951
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6954
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5845
Cross-validation details (10-fold Crossvalidation)
Recall
0.6954
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6521
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4713
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3953
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8387
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
882.1854[564.661912443849871.136931895223483.88543266528814910.53832226537881580.7042191207643]