OpenML
10927

Run 10927

Task 41 (Supervised Classification) soybean 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)_I3
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
0.9798
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8507
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8363
Cross-validation details (10-fold Crossvalidation)
KB relative information score
583.2256
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0245
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0961
Cross-validation details (10-fold Crossvalidation)
Number of instances
683
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
0.8624
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8507
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.8572
Cross-validation details (10-fold Crossvalidation)
Recall
0.8507
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2552
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2191
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1086
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4957
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
941.6953[558.33570187255211015.5230404536866482.7975877024999915.30723635829941736.5129941032399]