DEVELOPMENT... OpenML
Run
133494

Run 133494

Task 250 (Supervised Classification) mfeat-pixel 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)_I10
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
0.9976
Per class
Build CPU time
0.835
Build memory
1448310488
F measure
0.9743
Per class
Kappa
0.9714
KB relative information score
502.3563
Mean absolute error
0.0779
Mean prior absolute error
0.18
Number of instances
660
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9747
Per class
Predictive accuracy
0.9742
Prior entropy
3.3219
Recall
0.9742
Per class
Relative absolute error
0.4329
Root mean prior squared error
0.3
Root mean squared error
0.1483
Root relative squared error
0.4943
SciMark benchmark
943.8094