DEVELOPMENT... OpenML
Run
144451

Run 144451

Task 3756 (Supervised Classification) visualizing_hamster 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
0.6833
Per class
F measure
0.6701
Per class
Kappa
0.3328
KB relative information score
24.5416
Mean absolute error
0.3277
Mean prior absolute error
0.4955
Number of instances
73
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.67
Per class
Predictive accuracy
0.6712
Prior entropy
0.9937
Recall
0.6712
Per class
Relative absolute error
0.6614
Root mean prior squared error
0.4977
Root mean squared error
0.5508
Root relative squared error
1.1068
SciMark benchmark
938.9865
UserCPU time millis
30
UserCPU time millis training
30

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