Run
18062

Run 18062

Task 2071 (Supervised Classification) adult Uploaded 10-06-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_RandomForest(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_RandomForest(1)_C3
weka.MultiBoostAB_RandomForest(1)_I80
weka.MultiBoostAB_RandomForest(1)_P100
weka.MultiBoostAB_RandomForest(1)_S1
weka.MultiBoostAB_RandomForest(1)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(1)_I10
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
0.7538
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8181
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4914
Cross-validation details (10-fold Crossvalidation)
KB relative information score
21881.2147
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1783
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3641
Cross-validation details (10-fold Crossvalidation)
Number of instances
48842
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
0.8158
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8217
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7939
Cross-validation details (10-fold Crossvalidation)
Recall
0.8217
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4897
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4266
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4204
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9854
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
942.4944[566.31186629444681014.1868590421574474.2676028917832908.95975824819551748.7457828491113]