Milkina 1970

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   15  0.6770  0.0025  0.1023  0.4713  0.5022  0.48
Anderszewski 2003   11  0.704  0.074  0.149  0.623  0.659  0.63
Ashkenazy 1981   59  0.5547  0.0061  0.0649  0.0653  0.0679  0.06
Bacha 2000   42  0.5946  0.0033  0.0742  0.201  0.6337  0.35
Badura 1965   48  0.5853  0.0049  0.0651  0.069  0.5649  0.18
Barbosa 1983   66  0.528  0.0314  0.0934  0.3210  0.5730  0.43
Biret 1990   10  0.702  0.082  0.213  0.691  0.714  0.70
Blet 2003   55  0.5682  0.0057  0.0560  0.056  0.4951  0.16
Block 1995   60  0.5587  0.0056  0.0745  0.0721  0.3454  0.15
Blumental 1952   31  0.6211  0.0213  0.1327  0.457  0.5223  0.48
Boshniakovich 1969   21  0.6437  0.0029  0.1128  0.4326  0.4527  0.44
Brailowsky 1960   50  0.5768  0.0071  0.0571  0.0521  0.4553  0.15
Bunin 1987   86  0.3974  0.0085  0.0287  0.0277  0.0390  0.02
Bunin 1987b   87  0.3983  0.0084  0.0385  0.0367  0.0487  0.03
Chiu 1999   70  0.5172  0.0068  0.0570  0.0534  0.1672  0.09
Cohen 1997   85  0.4129  0.0066  0.0478  0.047  0.4657  0.14
Cortot 1951   79  0.4875  0.0081  0.0475  0.0433  0.2771  0.10
Csalog 1996   67  0.5213  0.0162  0.0563  0.0524  0.3463  0.13
Czerny 1949   18  0.669  0.0321  0.0918  0.5018  0.5321  0.51
Czerny 1990   4  0.7177  0.0010  0.246  0.676  0.725  0.69
Duchoud 2007   81  0.4766  0.0069  0.0564  0.0516  0.3756  0.14
Ezaki 2006   5  0.7120  0.019  0.185  0.672  0.743  0.70
Falvay 1989   36  0.6143  0.0048  0.0656  0.0610  0.5248  0.18
Farrell 1958   37  0.6069  0.0028  0.0925  0.457  0.5820  0.51
Ferenczy 1958   82  0.4584  0.0087  0.0477  0.0456  0.0485  0.04
Fliere 1977   12  0.6933  0.0018  0.1219  0.4927  0.3234  0.40
Fou 1978   6  0.713  0.077  0.1210  0.602  0.6211  0.61
Francois 1956   46  0.5855  0.0055  0.0747  0.0713  0.5347  0.19
Friedman 1923   68  0.5127  0.0064  0.0558  0.0531  0.3566  0.13
Friedman 1923b   65  0.5245  0.0063  0.0565  0.0531  0.3758  0.14
Friedman 1930   73  0.5119  0.0170  0.0650  0.0639  0.2270  0.11
Garcia 2007   69  0.5160  0.0067  0.0568  0.0534  0.2768  0.12
Garcia 2007b   56  0.5678  0.0050  0.0572  0.0529  0.3465  0.13
Gierzod 1998   2  0.7212  0.016  0.152  0.7111  0.617  0.66
Gornostaeva 1994   19  0.6526  0.0030  0.1322  0.486  0.6019  0.54
Groot 1988   40  0.5962  0.0035  0.0732  0.337  0.4835  0.40
Harasiewicz 1955   9  0.707  0.038  0.144  0.683  0.716  0.69
Hatto 1993   57  0.5679  0.0053  0.0652  0.0651  0.0680  0.06
Hatto 1997   53  0.5680  0.0054  0.0746  0.0745  0.0778  0.07
Horowitz 1949   64  0.5244  0.0072  0.0473  0.0427  0.4562  0.13
Indjic 1988   52  0.5763  0.0052  0.0657  0.0658  0.0582  0.05
Kapell 1951   23  0.6442  0.0023  0.0720  0.4919  0.3829  0.43
Kissin 1993   14  0.6835  0.0015  0.1012  0.5916  0.5915  0.59
Kushner 1989   3  0.7121  0.0111  0.158  0.633  0.678  0.65
Luisada 1991   16  0.6723  0.0117  0.1116  0.522  0.7013  0.60
Lushtak 2004   61  0.5541  0.0047  0.0653  0.0631  0.2469  0.12
Malcuzynski 1961   20  0.6549  0.0026  0.1024  0.475  0.6118  0.54
Magaloff 1978   28  0.6332  0.0043  0.0743  0.182  0.5638  0.32
Magin 1975   25  0.6452  0.0027  0.0831  0.4117  0.4628  0.43
Michalowski 1933   72  0.5173  0.0075  0.0476  0.0437  0.2173  0.09
Milkina 1970   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Mohovich 1999   7  0.715  0.053  0.147  0.671  0.782  0.72
Moravec 1969   54  0.5638  0.0060  0.0559  0.059  0.6050  0.17
Morozova 2008   22  0.6410  0.0216  0.1015  0.541  0.6812  0.61
Neighaus 1950   63  0.5340  0.0074  0.0567  0.0559  0.0583  0.05
Niedzielski 1931   83  0.4588  0.0082  0.0569  0.0584  0.0384  0.04
Ohlsson 1999   39  0.6014  0.0132  0.0730  0.4222  0.4332  0.42
Osinska 1989   1  0.751  0.381  0.381  0.752  0.761  0.75
Pachmann 1927   78  0.4876  0.0083  0.0286  0.0227  0.3176  0.08
Paderewski 1930   84  0.4389  0.0086  0.0382  0.0355  0.0488  0.03
Perlemuter 1992   49  0.5761  0.0058  0.0566  0.0523  0.3560  0.13
Pierdomenico 2008   76  0.4985  0.0065  0.0479  0.0419  0.4261  0.13
Poblocka 1999   30  0.6228  0.0040  0.0739  0.2332  0.3742  0.29
Rabcewiczowa 1932   43  0.5950  0.0044  0.0844  0.1525  0.2844  0.20
Rachmaninoff 1923   44  0.5948  0.0042  0.0741  0.2131  0.2543  0.23
Rangell 2001   51  0.5781  0.0046  0.0648  0.062  0.6046  0.19
Richter 1976   80  0.4730  0.0077  0.0384  0.0346  0.0781  0.05
Rosen 1989   8  0.7017  0.0112  0.2411  0.604  0.6710  0.63
Rosenthal 1930   74  0.5067  0.0078  0.0383  0.0330  0.2874  0.09
Rosenthal 1931   71  0.5164  0.0076  0.0381  0.0319  0.4667  0.12
Rosenthal 1931b   75  0.5054  0.0079  0.0474  0.0420  0.4264  0.13
Rosenthal 1931c   62  0.5318  0.0173  0.0561  0.0515  0.5352  0.16
Rosenthal 1931d   77  0.4990  0.0080  0.0480  0.0421  0.4659  0.14
Rossi 2007   41  0.5916  0.0145  0.0654  0.062  0.5945  0.19
Rubinstein 1939   29  0.6231  0.0022  0.0917  0.503  0.6717  0.58
Rubinstein 1952   35  0.6125  0.0120  0.1013  0.554  0.6514  0.60
Rubinstein 1966   17  0.666  0.045  0.1414  0.546  0.6416  0.59
Schilhawsky 1960   58  0.5539  0.0059  0.0655  0.0645  0.1077  0.08
Shebanova 2002   24  0.6451  0.0038  0.0933  0.3332  0.2741  0.30
Smith 1975   33  0.6156  0.0039  0.0740  0.2310  0.4439  0.32
Sokolov 2002   34  0.6122  0.0137  0.0937  0.295  0.5733  0.41
Sztompka 1959   13  0.6815  0.0124  0.0821  0.4830  0.4326  0.45
Tomsic 1995   45  0.5965  0.0034  0.0735  0.324  0.6524  0.46
Uninsky 1932   47  0.5859  0.0051  0.0562  0.0527  0.4255  0.14
Uninsky 1971   38  0.6036  0.0041  0.0838  0.2427  0.4240  0.32
Wasowski 1980   32  0.6224  0.0136  0.0836  0.3120  0.4336  0.37
Zak 1937   27  0.6371  0.0031  0.1029  0.4323  0.4131  0.42
Zak 1951   26  0.6334  0.0019  0.1126  0.4517  0.4625  0.45
Random 1   89  -0.0557  0.0088  0.0288  0.0213  0.4275  0.09
Random 2   88  -0.0358  0.0090  0.0190  0.0162  0.0389  0.02
Random 3   90  -0.0886  0.0089  0.0189  0.0133  0.1786  0.04

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).