DEVELOPMENT... OpenML
Run
22650

Run 22650

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)_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
0.7577
Per class
F measure
0.5897
Per class
Kappa
0.4724
KB relative information score
377.2386
Mean absolute error
0.1649
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
0.5942
Per class
Predictive accuracy
0.5883
Prior entropy
2.2629
Recall
0.5883
Per class
Relative absolute error
0.5263
Root mean prior squared error
0.3957
Root mean squared error
0.4048
Root relative squared error
1.023
SciMark benchmark
931.7465[550.9288379492025983.3911977944585480.2065271424506885.32253643874941758.8835103978397]