Difference between revisions of "Meteos/Howto"
< Meteos
(→Writing) |
(→step 1. Parse Dataset) |
||
| Line 4: | Line 4: | ||
=== step 1. Parse Dataset === | === step 1. Parse Dataset === | ||
| + | |||
| + | Parsing dataset is one of the efficient way to increase model accuracy. | ||
| + | |||
| + | You can see example [[https://wiki.openstack.org/wiki/Meteos/ExampleLinear#4._Parse_a_raw_data| here]]. | ||
| + | |||
| + | In this example, user eliminates exception data from dataset using filter method. | ||
=== step 2. Tuning of model parameters === | === step 2. Tuning of model parameters === | ||
Revision as of 00:53, 10 February 2017
This section explains what to do to increase the model accuracy.
Contents
Under Writing
step 1. Parse Dataset
Parsing dataset is one of the efficient way to increase model accuracy.
You can see example [here].
In this example, user eliminates exception data from dataset using filter method.
step 2. Tuning of model parameters
Parameter tuning is very important to increase the model accuracy. Parameters differs depending on prediction models.
step 3. Evaluate model accuracy
After creating prediction model, you can evaluate model using "meteos model-evaluation-create" method.
step 4. Recreate model with new dataset
it's desirable for prediction models to increase the accuracy continuously.
you can re-create model with new datasets using "meteos model-recreate" method.
