DEVELOPMENT... OpenML
Run
163410

Run 163410

Task 3607 (Supervised Classification) rmftsa_sleepdata Uploaded 16-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I40
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.7698
Per class
F measure
0.7151
Per class
Kappa
0.4349
KB relative information score
432.3931
Mean absolute error
0.2914
Mean prior absolute error
0.5
Number of instances
1024
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7256
Per class
Predictive accuracy
0.7178
Prior entropy
1
Recall
0.7178
Per class
Relative absolute error
0.5827
Root mean prior squared error
0.5
Root mean squared error
0.5009
Root relative squared error
1.0018
SciMark benchmark
942.1229
UserCPU time millis
30
UserCPU time millis training
30