DEVELOPMENT... OpenML
Run
132947

Run 132947

Task 1785 (Supervised Classification) car Uploaded 27-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomForest(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_RandomForest(2)_I20
weka.AdaBoostM1_RandomForest(2)_P100
weka.AdaBoostM1_RandomForest(2)_S1
weka.AdaBoostM1_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_num-slots1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.9905
Per class
Build CPU time
0.096
Build memory
1065834233.6
F measure
0.9268
Per class
Kappa
0.8422
KB relative information score
6083.4819
Mean absolute error
0.0879
Mean prior absolute error
0.229
Number of instances
8640
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9272
Per class
Predictive accuracy
0.9277
Prior entropy
1.2099
Recall
0.9277
Per class
Relative absolute error
0.3839
Root mean prior squared error
0.3381
Root mean squared error
0.1772
Root relative squared error
0.5241
SciMark benchmark
945.5885