Run
434707

Run 434707

Task 95 (Learning Curve) segment Uploaded 12-05-2015 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_DecisionStump(3)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(3)_C3
weka.MultiBoostAB_DecisionStump(3)_P100
weka.MultiBoostAB_DecisionStump(3)_S1
weka.MultiBoostAB_DecisionStump(3)_I40
weka.MultiBoostAB_DecisionStump(3)_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.

20 Evaluation measures

Area under ROC curve
0.7696 ± 0.0139
Per class
Kappa
0.1663 ± 0.0013
KB relative information score
0.3095 ± 0.0085
Mean absolute error
0.2089 ± 0.0017
Mean prior absolute error
0.2449
Number of instances
23100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Predictive accuracy
0.2854 ± 0.0011
Prior entropy
2.8074
Recall
0.2854 ± 0.0011
Per class
Relative absolute error
0.8528 ± 0.007
Root mean prior squared error
0.3499
Root mean squared error
0.3235 ± 0.0016
Root relative squared error
0.9245 ± 0.0047
SciMark benchmark
904.333
UserCPU time millis
10
UserCPU time millis training
10