DEVELOPMENT... OpenML
Run
20497

Run 20497

Task 2079 (Supervised Classification) eucalyptus Uploaded 18-06-2014 by Felicia West
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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
0.7478
Per class
F measure
0.5887
Per class
Kappa
0.4709
KB relative information score
378.5872
Mean absolute error
0.1645
Mean prior absolute error
0.3132
Number of instances
736
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5938
Per class
Predictive accuracy
0.587
Prior entropy
2.2629
Recall
0.587
Per class
Relative absolute error
0.525
Root mean prior squared error
0.3957
Root mean squared error
0.4045
Root relative squared error
1.0221
SciMark benchmark
914.9738[533.5701250282386962.0344422444904457.49542741942486863.45190661122311758.3172656914378]