class_docstr: Interpretation base class, can be inherited for task specific Interpretation classes
docstr: Show predictions and targets of `idxs`
docstr_tok: ["Show","predictions","and","targets","of","`","idxs","`"]
code: def show_results(
      self, idxs: list, **kwargs  # Indices of predictions and targets
  ):
      "Show predictions and targets of `idxs`"
      if isinstance(idxs, Tensor):
          idxs = idxs.tolist()
      if not is_listy(idxs):
          idxs = [idxs]
      inps, _, targs, decoded, _ = self[idxs]
      b = tuplify(inps) + tuplify(targs)
      self.dl.show_results(
          b, tuplify(decoded), max_n=len(idxs), **kwargs
      )
  
imports: from __future__ import annotations
  from .data.all import *
  from .optimizer import *
  from .learner import *
  from .tabular.core import *
  import sklearn.metrics
label_desc: Use image node_id 6 for calling the Interpretation obj's underlying member method code with example usage: obj.show_results(idxs) without return types