clarify no-meaningful-features warning in Dataset construction (fixes #5081) (#5083)

* clarify no-meaningful-features warning in Dataset construction (fixes #5081)

* update tests

src/io/dataset.cpp

@@ -333,8 +333,9 @@ void Dataset::Construct(std::vector<std::unique_ptr<BinMapper>>* bin_mappers,
   }
   if (used_features.empty()) {
     Log::Warning(
-        "There are no meaningful features, as all feature values are "
-        "constant.");
+        "There are no meaningful features which satisfy the provided configuration. "
+        "Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing "
+        "Dataset might resolve this warning.");
   }
   auto features_in_group = NoGroup(used_features);
 

tests/python_package_test/test_utilities.py

@@ -43,7 +43,7 @@ def test_register_logger(tmp_path):
     lgb.plot_metric(eval_records)
 
     expected_log = r"""
-INFO | [LightGBM] [Warning] There are no meaningful features, as all feature values are constant.
+INFO | [LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.
 INFO | [LightGBM] [Info] Number of positive: 2, number of negative: 2
 INFO | [LightGBM] [Info] Total Bins 0
 INFO | [LightGBM] [Info] Number of data points in the train set: 4, number of used features: 0