Run
300472

Run 300472

Task 94 (Learning Curve) dermatology Uploaded 17-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Logistic(5)le Cessie, S., van Houwelingen, J.C. (1992). Ridge Estimators in Logistic Regression. Applied Statistics. 41(1):191-201.
weka.Logistic(5)_R1.0E-8
weka.Logistic(5)_M-1

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
0.9877 ± 0.0145
Per class
F measure
0.9704 ± 0.0289
Per class
Kappa
0.963 ± 0.0352
KB relative information score
0.9631 ± 0.0351
Mean absolute error
0.0099 ± 0.0094
Mean prior absolute error
0.2664 ± 0.0004
Number of instances
3660
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9706 ± 0.0256
Per class
Predictive accuracy
0.9705 ± 0.0281
Prior entropy
2.4327 ± 0.0089
Recall
0.9705 ± 0.0281
Per class
Relative absolute error
0.0372 ± 0.0351
Root mean prior squared error
0.3649 ± 0.0006
Root mean squared error
0.0982 ± 0.0587
Root relative squared error
0.269 ± 0.1607
SciMark benchmark
1295.8895
UserCPU time millis
180
UserCPU time millis training
180