# Simple Tut Example

[Generated automatically as a Tutorial summary]

## Inputs

### Description

Name: | tut_example1
Title: | Simple Tut Example
Author: | J.R. Hartley
Abstract: |

One compartment model with elimination rate constant KE.

Keywords: | one compartment model; iv_one_cmp_k
Input Script: | `tut_example1.pyml`
Diagram: |

### True f[X] values

    f[KE] = 0.1000
    f[PNOISE] = 0.0500
    f[KE_isv] = 0.0300

### Starting f[X] values

    f[KE] = 0.0500
    f[PNOISE] = 0.1000
    f[KE_isv] = 0.1000

## Outputs

### Generated data .csv file

Synthetic Data: | `synthetic_data.csv`

### Generating and Fitting Summaries

- Gen: Simple Tut Example (gen)
- Fit: Simple Tut Example (fit)

### Fitted f[X] values

    f[KE] = 0.0999
    f[PNOISE] = 0.0503
    f[KE_isv] = 0.0183

## Plots

### Dense comp plots

Alternatively see All dense_comp graph plots

## Comparison

### True objective value

    -7.2061

### Final fitted objective value

    -9.2911

### Compare Main f[X]

Name | Initial | Fitted | True | Prop. Error | Abs. Error
--- | --- | --- | --- | --- | ---
f[KE] | 0.05 | 0.0999 | 0.1 | 0.13% | 1.30e-04

### Compare Noise f[X]

Name | Initial | Fitted | True | Prop. Error | Abs. Error
--- | --- | --- | --- | --- | ---
f[PNOISE] | 0.1 | 0.0503 | 0.05 | 0.67% | 3.36e-04

### Compare Variance f[X]

Name | Initial | Fitted | True | Prop. Error | Abs. Error
--- | --- | --- | --- | --- | ---
f[KE_isv] | 0.1 | 0.0183 | 0.03 | 39.00% | 1.17e-02