DEVELOPMENT... OpenML
Run
136609

Run 136609

Task 2355 (Supervised Classification) meta_instanceincremental.arff Uploaded 31-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(2)_I160
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.7905
Per class
Build CPU time
0.005
Build memory
74791336
F measure
0.8117
Per class
Kappa
0.573
KB relative information score
12.4653
Mean absolute error
0.1042
Mean prior absolute error
0.2324
Number of instances
24
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8781
Per class
Predictive accuracy
0.7917
Prior entropy
1.3146
Recall
0.7917
Per class
Relative absolute error
0.4483
Root mean prior squared error
0.3388
Root mean squared error
0.3227
Root relative squared error
0.9527
SciMark benchmark
939.8609