DEVELOPMENT... OpenML
Run
136920

Run 136920

Task 3818 (Supervised Classification) tae 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
0.7766
Per class
Build CPU time
0.1583
Build memory
909812712.3709
F measure
0.7565
Per class
Kappa
0.4647
KB relative information score
64.7635
Mean absolute error
0.2475
Mean prior absolute error
0.4522
Number of instances
151
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7587
Per class
Predictive accuracy
0.755
Prior entropy
0.9308
Recall
0.755
Per class
Relative absolute error
0.5472
Root mean prior squared error
0.4752
Root mean squared error
0.4865
Root relative squared error
1.0238
SciMark benchmark
927.1482