| Normalize__allow_negative_values | Whether negative values should be allowed and used as absolute values | default: false |
| Normalize__attribute | The attribute which should be chosen. | |
| Normalize__attribute_filter_type | The condition specifies which attributes are selected or affected by this operator. | default: all |
| Normalize__attributes | The attribute which should be chosen. | |
| Normalize__block_type | The block type of the attributes. | default: value_series |
| Normalize__create_view | Create View to apply preprocessing instead of changing the data | default: false |
| Normalize__except_block_type | Except this block type. | default: value_series_end |
| Normalize__except_regular_expression | A regular expression for the names of the attributes which should be filtered out although matching the above regular expression. | |
| Normalize__except_value_type | Except this value type. | default: real |
| Normalize__include_special_attributes | Indicate if this operator should also be applied on the special attributes. Otherwise they are always kept. | default: false |
| Normalize__invert_selection | Indicates if only attributes should be accepted which would normally filtered. | default: false |
| Normalize__max | The maximum value after normalization | default: 1.0 |
| Normalize__method | Select the normalization method. | default: Z-transformation |
| Normalize__min | The minimum value after normalization | default: 0.0 |
| Normalize__numeric_condition | Parameter string for the condition, e.g. '>= 5' | |
| Normalize__regular_expression | A regular expression for the names of the attributes which should be kept. | |
| Normalize__return_preprocessing_model | Indicates if the preprocessing model should also be returned | default: false |
| Normalize__use_block_type_exception | If enabled, an exception to the specified block type might be specified. | default: false |
| Normalize__use_except_expression | If enabled, an exception to the specified regular expression might be specified. Attributes of matching this will be filtered out, although matching the first expression. | default: false |
| Normalize__use_value_type_exception | If enabled, an exception to the specified value type might be specified. Attributes of this type will be filtered out, although matching the first specified type. | default: false |
| Normalize__value_type | The value type of the attributes. | default: numeric |
| Store__repository_entry | Repository entry. | |
| W-J48__A | Laplace smoothing for predicted probabilities. | default: false |
| W-J48__B | Use binary splits only. | default: false |
| W-J48__C | Set confidence threshold for pruning.
(default 0.25) | default: 0.25 |
| W-J48__L | Do not clean up after the tree has been built. | default: false |
| W-J48__M | Set minimum number of instances per leaf.
(default 2) | default: 2.0 |
| W-J48__N | Set number of folds for reduced error
pruning. One fold is used as pruning set.
(default 3) | |
| W-J48__Q | Seed for random data shuffling (default 1). | |
| W-J48__R | Use reduced error pruning. | default: false |
| W-J48__S | Don't perform subtree raising. | default: false |
| W-J48__U | Use unpruned tree. | default: false |