DEVELOPMENT... OpenML
Run
139290

Run 139290

Task 3672 (Supervised Classification) kin8nm Uploaded 31-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_REPTree(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_REPTree(2)_I20
weka.AdaBoostM1_REPTree(2)_P100
weka.AdaBoostM1_REPTree(2)_S1
weka.AdaBoostM1_REPTree(2)_Wweka.classifiers.trees.REPTree
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_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
0.9206
Per class
Build CPU time
3.8487
Build memory
500634646.9297
F measure
0.84
Per class
Kappa
0.6799
KB relative information score
5483.145
Mean absolute error
0.1665
Mean prior absolute error
0.4998
Number of instances
8192
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8401
Per class
Predictive accuracy
0.84
Prior entropy
0.9998
Recall
0.84
Per class
Relative absolute error
0.3331
Root mean prior squared error
0.4999
Root mean squared error
0.3696
Root relative squared error
0.7393
SciMark benchmark
907.1899