DEVELOPMENT... OpenML
Run
131208

Run 131208

Task 2275 (Supervised Classification) meta_instanceincremental.arff Uploaded 25-12-2014 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)_I160
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
0.9672
Per class
Build CPU time
0.0587
Build memory
2192141751.4595
F measure
0.8962
Per class
Kappa
0.7511
KB relative information score
41.0031
Mean absolute error
0.1165
Mean prior absolute error
0.2277
Number of instances
74
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9163
Per class
Predictive accuracy
0.9054
Prior entropy
1.3146
Recall
0.9054
Per class
Relative absolute error
0.5117
Root mean prior squared error
0.3317
Root mean squared error
0.2082
Root relative squared error
0.6276
SciMark benchmark
937.5757