fix documents.

docs/Parameters.md

@@ -10,8 +10,8 @@ Default values for the following parameters have changed:
 
 * min_data_in_leaf = 100 => 20
 * min_sum_hessian_in_leaf = 10 => 1e-3
-* num_leaves = 255 => 31
-* num_iterations = 100 => 10
+* num_leaves = 127 => 31
+* num_iterations = 10 => 100
 
 ## Parameter format
 

docs/Quick-Start.md

@@ -10,7 +10,7 @@ Follow the [Installation Guide](./Installation-Guide.md) to install LightGBM fir
 
 ## Training data format 
 
-LightGBM supports input data file with [CSV](https://en.wikipedia.org/wiki/Comma-separated_values), [TSV] (https://en.wikipedia.org/wiki/Tab-separated_values) and [LibSVM](https://www.csie.ntu.edu.tw/~cjlin/libsvm/) formats.
+LightGBM supports input data file with [CSV](https://en.wikipedia.org/wiki/Comma-separated_values), [TSV](https://en.wikipedia.org/wiki/Tab-separated_values) and [LibSVM](https://www.csie.ntu.edu.tw/~cjlin/libsvm/) formats.
 
 Label is the data of first column, and there is no header in the file.
 
@@ -57,11 +57,11 @@ Some important parameters:
 * ```valid```, default=```""```, type=multi-string, alias=```test```,```valid_data```,```test_data```
   * validation/test data, LightGBM will output metrics for these data
   * support multi validation data, separate by ```,```
-* ```num_iterations```, default=```10```, type=int, alias=```num_iteration```,```num_tree```,```num_trees```,```num_round```,```num_rounds```
+* ```num_iterations```, default=```100```, type=int, alias=```num_iteration```,```num_tree```,```num_trees```,```num_round```,```num_rounds```
   * number of boosting iterations/trees
 * ```learning_rate```, default=```0.1```, type=double, alias=```shrinkage_rate```
   * shrinkage rate
-* ```num_leaves```, default=```127```, type=int, alias=```num_leaf```
+* ```num_leaves```, default=```31```, type=int, alias=```num_leaf```
   * number of leaves in one tree
 * ```tree_learner```, default=```serial```, type=enum, options=```serial```,```feature```,```data```
   * ```serial```, single machine tree learner
@@ -75,9 +75,9 @@ Some important parameters:
 * ```max_depth```, default=```-1```, type=int
   * Limit the max depth for tree model. This is used to deal with overfit when #data is small. Tree still grow by leaf-wise. 
   * ```< 0``` means no limit 
-* ```min_data_in_leaf```, default=```100```, type=int, alias=```min_data_per_leaf``` , ```min_data```
+* ```min_data_in_leaf```, default=```20```, type=int, alias=```min_data_per_leaf``` , ```min_data```
   * Minimal number of data in one leaf. Can use this to deal with over-fit.
-* ```min_sum_hessian_in_leaf```, default=```10.0```, type=double, alias=```min_sum_hessian_per_leaf```, ```min_sum_hessian```, ```min_hessian```
+* ```min_sum_hessian_in_leaf```, default=```1e-3```, type=double, alias=```min_sum_hessian_per_leaf```, ```min_sum_hessian```, ```min_hessian```
   * Minimal sum hessian in one leaf. Like ```min_data_in_leaf```, can use this to deal with over-fit.
 
 For all parameters, please refer to [Parameters](./Parameters.md).