DEVELOPMENT... OpenML
Run
134806

Run 134806

Task 2275 (Supervised Classification) meta_instanceincremental.arff Uploaded 28-12-2014 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)_I20
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
0.8294
Per class
Build CPU time
0.001
Build memory
328836224
F measure
0.8548
Per class
Kappa
0.6611
KB relative information score
45.4735
Mean absolute error
0.0743
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
0.8632
Per class
Predictive accuracy
0.8514
Prior entropy
1.3146
Recall
0.8514
Per class
Relative absolute error
0.3265
Root mean prior squared error
0.3317
Root mean squared error
0.2726
Root relative squared error
0.8218
SciMark benchmark
939.084