DEVELOPMENT... OpenML
Run
15715

Run 15715

Task 6 (Supervised Classification) letter Uploaded 04-06-2014 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)_I40
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
0.9875
Per class
F measure
0.9718
Per class
Kappa
0.9706
KB relative information score
19435.3685
Mean absolute error
0.0022
Mean prior absolute error
0.074
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.972
Per class
Predictive accuracy
0.9717
Prior entropy
4.6998
Recall
0.9717
Per class
Relative absolute error
0.0294
Root mean prior squared error
0.1923
Root mean squared error
0.0463
Root relative squared error
0.2407
SciMark benchmark
945.4879[560.84905630822271014.4538012229739481.0671525802613907.0727062654921763.996579689319]