DEVELOPMENT... OpenML
Run
18707

Run 18707

Task 21 (Supervised Classification) car Uploaded 11-06-2014 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
0.9775
Per class
F measure
0.9626
Per class
Kappa
0.9185
KB relative information score
1516.141
Mean absolute error
0.029
Mean prior absolute error
0.229
Number of instances
1728
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.963
Per class
Predictive accuracy
0.9624
Prior entropy
1.2099
Recall
0.9624
Per class
Relative absolute error
0.1267
Root mean prior squared error
0.3381
Root mean squared error
0.1382
Root relative squared error
0.4087
SciMark benchmark
940.1276[563.38522762117461008.3490290617938475.94938121824873906.44530435465071746.5089819330503]