OpenML
8297

Run 8297

Task 22 (Supervised Classification) mfeat-zernike 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)_I11
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
0.9407
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7409
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7139
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1400.2907
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0783
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
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
0.7406
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7425
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.7425
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4348
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1969
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6564
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
948.547[566.67990129830931015.52310425331484.5405689113658910.85475360997441765.136766288487]