Malcuzynski 1961

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   14  0.6722  0.0125  0.0817  0.4011  0.4723  0.43
Anderszewski 2003   70  0.4721  0.0156  0.0462  0.0431  0.2460  0.10
Ashkenazy 1981   20  0.654  0.0211  0.116  0.5312  0.5012  0.51
Bacha 2000   61  0.5078  0.0078  0.0372  0.0335  0.2562  0.09
Badura 1965   58  0.5261  0.0040  0.0836  0.225  0.6131  0.37
Barbosa 1983   73  0.4347  0.0073  0.0378  0.0349  0.0578  0.04
Biret 1990   60  0.5290  0.0077  0.0379  0.0362  0.0488  0.03
Blet 2003   54  0.5438  0.0064  0.0463  0.0443  0.1169  0.07
Block 1995   26  0.6334  0.0031  0.0535  0.238  0.5432  0.35
Blumental 1952   77  0.4027  0.0049  0.0457  0.0421  0.3056  0.11
Boshniakovich 1969   16  0.6614  0.0118  0.0821  0.375  0.6715  0.50
Brailowsky 1960   50  0.5569  0.0069  0.0375  0.0333  0.1867  0.07
Bunin 1987   21  0.6537  0.0032  0.0525  0.369  0.5224  0.43
Bunin 1987b   19  0.6519  0.0133  0.0824  0.369  0.5122  0.43
Chiu 1999   74  0.4353  0.0065  0.0468  0.0443  0.1566  0.08
Cohen 1997   82  0.3036  0.0086  0.0383  0.0370  0.0487  0.03
Cortot 1951   63  0.5058  0.0071  0.0381  0.0332  0.2565  0.09
Csalog 1996   75  0.4257  0.0087  0.0469  0.0458  0.0579  0.04
Czerny 1949   38  0.5959  0.0022  0.0520  0.3810  0.6514  0.50
Czerny 1990   10  0.7152  0.0010  0.128  0.536  0.598  0.56
Duchoud 2007   59  0.5264  0.0072  0.0287  0.0253  0.0586  0.03
Ezaki 2006   5  0.7328  0.005  0.145  0.575  0.654  0.61
Falvay 1989   36  0.6073  0.0037  0.0739  0.1924  0.2741  0.23
Farrell 1958   62  0.5054  0.0081  0.0374  0.0354  0.0482  0.03
Ferenczy 1958   72  0.4355  0.0085  0.0286  0.0254  0.0584  0.03
Fliere 1977   7  0.726  0.019  0.1111  0.4915  0.5411  0.51
Fou 1978   30  0.6220  0.0120  0.0726  0.3613  0.4825  0.42
Francois 1956   18  0.6551  0.0014  0.0918  0.4011  0.5020  0.45
Friedman 1923   84  0.2774  0.0079  0.0376  0.0320  0.3561  0.10
Friedman 1923b   83  0.2771  0.0080  0.0554  0.0521  0.3551  0.13
Friedman 1930   76  0.4033  0.0060  0.0466  0.0420  0.4549  0.13
Garcia 2007   85  0.2672  0.0084  0.0384  0.0356  0.0580  0.04
Garcia 2007b   87  0.2544  0.0083  0.0285  0.0238  0.2172  0.06
Gierzod 1998   13  0.6812  0.0112  0.129  0.512  0.666  0.58
Gornostaeva 1994   8  0.7216  0.018  0.1312  0.4710  0.5810  0.52
Groot 1988   6  0.7324  0.0115  0.0915  0.4210  0.4819  0.45
Harasiewicz 1955   40  0.5923  0.012  0.194  0.603  0.567  0.58
Hatto 1993   81  0.3675  0.0059  0.0550  0.0567  0.0481  0.04
Hatto 1997   78  0.398  0.0158  0.0458  0.0475  0.0383  0.03
Horowitz 1949   23  0.649  0.0119  0.0719  0.396  0.5118  0.45
Indjic 1988   79  0.3850  0.0057  0.0467  0.0456  0.0577  0.04
Kapell 1951   31  0.6249  0.0054  0.0647  0.0640  0.1364  0.09
Kissin 1993   4  0.733  0.054  0.142  0.644  0.682  0.66
Kushner 1989   3  0.7513  0.016  0.167  0.534  0.695  0.60
Luisada 1991   56  0.5381  0.0068  0.0465  0.0461  0.0574  0.04
Lushtak 2004   41  0.5917  0.0136  0.0730  0.2913  0.5029  0.38
Malcuzynski 1961   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magaloff 1978   2  0.795  0.013  0.263  0.643  0.633  0.63
Magin 1975   27  0.632  0.067  0.1214  0.433  0.5813  0.50
Michalowski 1933   80  0.3676  0.0067  0.0373  0.0349  0.0676  0.04
Milkina 1970   25  0.6382  0.0053  0.0548  0.0533  0.2259  0.10
Mohovich 1999   17  0.6679  0.0030  0.0732  0.2716  0.4633  0.35
Moravec 1969   32  0.6156  0.0045  0.0545  0.1019  0.3745  0.19
Morozova 2008   48  0.5629  0.0038  0.0731  0.2717  0.3637  0.31
Neighaus 1950   12  0.7070  0.0016  0.1010  0.5110  0.579  0.54
Niedzielski 1931   67  0.4815  0.0148  0.0552  0.0527  0.1958  0.10
Ohlsson 1999   24  0.6341  0.0052  0.0456  0.0439  0.1368  0.07
Osinska 1989   43  0.5891  0.0051  0.0553  0.0524  0.2555  0.11
Pachmann 1927   66  0.4884  0.0063  0.0455  0.0427  0.3453  0.12
Paderewski 1930   29  0.6239  0.0044  0.0644  0.1213  0.4342  0.23
Perlemuter 1992   46  0.5726  0.0034  0.0733  0.2619  0.4434  0.34
Pierdomenico 2008   51  0.5465  0.0041  0.0642  0.1414  0.4040  0.24
Poblocka 1999   42  0.5840  0.0050  0.0746  0.0751  0.0570  0.06
Rabcewiczowa 1932   64  0.5085  0.0074  0.0380  0.0330  0.2663  0.09
Rachmaninoff 1923   55  0.5330  0.0027  0.0534  0.2515  0.4335  0.33
Rangell 2001   22  0.6477  0.0021  0.0640  0.1826  0.2844  0.22
Richter 1976   49  0.5610  0.0147  0.0551  0.0527  0.2952  0.12
Rosen 1989   15  0.6667  0.0024  0.0823  0.369  0.5521  0.44
Rosenthal 1930   52  0.5462  0.0061  0.0464  0.0421  0.4647  0.14
Rosenthal 1931   69  0.4789  0.0055  0.0459  0.048  0.5746  0.15
Rosenthal 1931b   71  0.4680  0.0062  0.0460  0.0412  0.4948  0.14
Rosenthal 1931c   34  0.6135  0.0035  0.0729  0.299  0.6127  0.42
Rosenthal 1931d   65  0.4983  0.0066  0.0471  0.0417  0.3854  0.12
Rossi 2007   86  0.2586  0.0075  0.0377  0.0315  0.3557  0.10
Rubinstein 1939   88  0.2387  0.0088  0.0288  0.0281  0.0389  0.02
Rubinstein 1952   53  0.5445  0.0070  0.0382  0.0341  0.1371  0.06
Rubinstein 1966   57  0.5366  0.0076  0.0470  0.0447  0.0773  0.05
Schilhawsky 1960   47  0.5742  0.0042  0.0741  0.1515  0.4339  0.25
Shebanova 2002   33  0.6143  0.0046  0.0549  0.0530  0.3450  0.13
Smith 1975   28  0.6346  0.0023  0.0822  0.3718  0.3830  0.37
Sokolov 2002   11  0.7018  0.0113  0.0816  0.405  0.5217  0.46
Sztompka 1959   35  0.6131  0.0043  0.0543  0.1223  0.4043  0.22
Tomsic 1995   9  0.7263  0.0017  0.1813  0.457  0.5416  0.49
Uninsky 1932   44  0.5725  0.0028  0.0527  0.346  0.5226  0.42
Uninsky 1971   37  0.607  0.0129  0.0737  0.2119  0.4536  0.31
Wasowski 1980   68  0.4848  0.0082  0.0461  0.0466  0.0475  0.04
Zak 1937   45  0.5788  0.0039  0.0638  0.2018  0.4038  0.28
Zak 1951   39  0.5911  0.0126  0.0628  0.3311  0.5128  0.41
Average   1  0.851  0.621  0.611  0.813  0.661  0.73
Random 1   91  -0.0560  0.0091  0.0191  0.0175  0.0390  0.02
Random 2   90  -0.0132  0.0089  0.0289  0.0251  0.0585  0.03
Random 3   89  0.0368  0.0090  0.0190  0.0153  0.0391  0.02

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).