DEVELOPMENT... OpenML
Run
22745

Run 22745

Task 2079 (Supervised Classification) eucalyptus Uploaded 22-06-2014 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)_I160
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
0.7333 ± 0.0273
Per class
F measure
0.5771 ± 0.0335
Per class
Kappa
0.4575 ± 0.0462
KB relative information score
0.4983 ± 0.0422
Mean absolute error
0.17 ± 0.0148
Mean prior absolute error
0.3132 ± 0.0003
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
0.5823 ± 0.0307
Per class
Predictive accuracy
0.5761 ± 0.0374
Prior entropy
2.2621 ± 0.0054
Recall
0.5761 ± 0.0374
Per class
Relative absolute error
0.5428 ± 0.0471
Root mean prior squared error
0.3957 ± 0.0004
Root mean squared error
0.4119 ± 0.0183
Root relative squared error
1.0409 ± 0.0463
SciMark benchmark
877.8219[554.07898314586341014.9881073746852486.73703373228597569.87827268431031763.4269028321794]