Showing Predictor "Toy dataset 2"

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Notes:

Synthetic dataset from Hao with 20 uncensored patients and a single feature taking values 1,2,3,4

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Options
Regularization: L2	Tuning Score: avg log-likelihood loss
Time Points: 5	Tune Parameters: true
Feature Selection: false	Include Sibling Features: false
Standardize: true	Run Cross-Validation: true
Objective Function: log-likelihood	Marginal Loss Type: weighted
Use pre-defined Fold: No

Results
Start Time: 2017-09-22 11:37:49 -0600	Used Time: less than a minute
Label Name: SURVIVAL	C Parameter: 0.001
PSSP model: mtlr_model_file2841.mtlr	Version: 0.0.3

Predictor Settings / Retrain Show

Cross-validation results

5-Fold Cross-Validation Statistics*
Measure	PSSP Predictor (median)	PSSP Predictor (mean)	K-M Predictor
Concordance Index	1.0 ± 0.0	1.0 ± 0.0	0.5 ± 0.0
Hinged L1 Loss	1.32 ± 0.38		5.2 ± 0.29
Uncensored L1 loss	1.32 ± 0.38	2.44 ± 1.13	5.2 ± 0.29
Marginal L1 Loss	1.32 ± 0.38	2.44 ± 1.13	5.2 ± 0.29
Marginal L2 Loss	1.47 ± 0.42		5.92 ± 0.36
Hinged L1 Log-Loss	0.14 ± 0.05	0.28 ± 0.12	0.51 ± 0.05
Uncensored L1 Log-Loss	0.14 ± 0.05	0.28 ± 0.12	0.51 ± 0.05
Marginal L1 Log-Loss	0.12 ± 0.04	0.25 ± 0.11	0.47 ± 0.05
Log-Likelihood Loss	0.61 ± 0.35
D-calibration χ² statistics	24.0 ± 11.66		16.0 ± 0.0
D-calibration χ² p-value	0.42 ± 0.29		0.66 ± 0.0

*Mean value ± standard deviation.

Examine Classification Accuracy