DEVELOPMENT... OpenML
Run
132290

Run 132290

Task 242 (Supervised Classification) mfeat-factors Uploaded 26-12-2014 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)_I40
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
0.9994
Per class
Build CPU time
1.132
Build memory
2781185952
F measure
0.9728
Per class
Kappa
0.9697
KB relative information score
587.2528
Mean absolute error
0.0385
Mean prior absolute error
0.18
Number of instances
660
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.9734
Per class
Predictive accuracy
0.9727
Prior entropy
3.3219
Recall
0.9727
Per class
Relative absolute error
0.2138
Root mean prior squared error
0.3
Root mean squared error
0.0978
Root relative squared error
0.3261
SciMark benchmark
872.1114