DEVELOPMENT... OpenML
Run
19649

Run 19649

Task 36 (Supervised Classification) segment Uploaded 16-06-2014 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
0.9944
Per class
F measure
0.9787
Per class
Kappa
0.9753
KB relative information score
2245.5436
Mean absolute error
0.0098
Mean prior absolute error
0.2449
Number of instances
2310
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9788
Per class
Predictive accuracy
0.9788
Prior entropy
2.8074
Recall
0.9788
Per class
Relative absolute error
0.0402
Root mean prior squared error
0.3499
Root mean squared error
0.072
Root relative squared error
0.2057
SciMark benchmark
863.9423[537.0199169303959962.0344422444904458.66799968249853865.73319210050241496.2557664039555]