DEVELOPMENT... OpenML
Run
144233

Run 144233

Task 3539 (Supervised Classification) prnn_crabs Uploaded 31-01-2015 by Felicia West
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Flow

weka.AdaBoostM1_ADTree(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.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_I10
weka.AdaBoostM1_ADTree(2)_P100
weka.AdaBoostM1_ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_Wweka.classifiers.trees.ADTree

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.

22 Evaluation measures

Area under ROC curve
0.9626
Per class
F measure
0.91
Per class
Kappa
0.82
KB relative information score
165.1397
Mean absolute error
0.0871
Mean prior absolute error
0.5
Number of instances
200
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.91
Per class
Predictive accuracy
0.91
Prior entropy
1
Recall
0.91
Per class
Relative absolute error
0.1741
Root mean prior squared error
0.5
Root mean squared error
0.2906
Root relative squared error
0.5813
SciMark benchmark
931.4202
UserCPU time millis
90
UserCPU time millis training
90