Malcuzynski 1961

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   13  0.7825  0.0115  0.0714  0.425  0.4316  0.42
Anderszewski 2003   68  0.5614  0.0149  0.0455  0.0435  0.1558  0.08
Ashkenazy 1981   35  0.695  0.0614  0.0728  0.2624  0.3230  0.29
Bacha 2000   64  0.6079  0.0081  0.0454  0.0455  0.0569  0.04
Badura 1965   66  0.5973  0.0042  0.0539  0.125  0.5533  0.26
Barbosa 1983   72  0.4882  0.0060  0.0380  0.0354  0.0480  0.03
Biret 1990   32  0.7076  0.0069  0.0550  0.0550  0.0567  0.05
Blet 2003   43  0.6837  0.0050  0.0451  0.0434  0.1659  0.08
Block 1995   31  0.7051  0.0043  0.0542  0.1012  0.3442  0.18
Blumental 1952   80  0.3746  0.0075  0.0369  0.0347  0.0674  0.04
Boshniakovich 1969   23  0.7327  0.0127  0.0723  0.297  0.5119  0.38
Brailowsky 1960   44  0.6735  0.0064  0.0371  0.0333  0.2055  0.08
Bunin 1987   25  0.7143  0.0040  0.0633  0.1810  0.4532  0.28
Bunin 1987b   24  0.7145  0.0039  0.0531  0.1810  0.4531  0.28
Chiu 1999   74  0.4671  0.0068  0.0461  0.0452  0.0571  0.04
Cohen 1997   82  0.3063  0.0085  0.0286  0.0273  0.0390  0.02
Cortot 1951   54  0.6455  0.0072  0.0462  0.0444  0.1264  0.07
Csalog 1996   73  0.4883  0.0086  0.0377  0.0369  0.0381  0.03
Czerny 1949   27  0.719  0.0311  0.0910  0.465  0.577  0.51
Czerny 1990   8  0.832  0.085  0.122  0.622  0.583  0.60
Duchoud 2007   45  0.6752  0.0051  0.0549  0.0550  0.0566  0.05
Ezaki 2006   7  0.843  0.074  0.163  0.612  0.592  0.60
Falvay 1989   20  0.7453  0.0021  0.0620  0.3018  0.3126  0.30
Farrell 1958   33  0.6964  0.0073  0.0452  0.0439  0.1162  0.07
Ferenczy 1958   70  0.5385  0.0082  0.0378  0.0364  0.0383  0.03
Fliere 1977   2  0.8517  0.017  0.137  0.506  0.4512  0.47
Fou 1978   36  0.6921  0.0123  0.0627  0.2624  0.3527  0.30
Francois 1956   17  0.7612  0.029  0.099  0.477  0.4911  0.48
Friedman 1923   86  0.2380  0.0078  0.0458  0.0423  0.3445  0.12
Friedman 1923b   85  0.2489  0.0077  0.0376  0.0322  0.3453  0.10
Friedman 1930   76  0.3947  0.0057  0.0373  0.0324  0.3452  0.10
Garcia 2007   78  0.3786  0.0083  0.0379  0.0364  0.0484  0.03
Garcia 2007b   87  0.2167  0.0084  0.0385  0.0347  0.0575  0.04
Gierzod 1998   16  0.7720  0.0125  0.0719  0.3111  0.3525  0.33
Gornostaeva 1994   5  0.846  0.052  0.145  0.561  0.594  0.57
Groot 1988   3  0.8515  0.0110  0.1011  0.456  0.5014  0.47
Harasiewicz 1955   58  0.631  0.271  0.274  0.571  0.565  0.56
Hatto 1993   81  0.3575  0.0066  0.0463  0.0460  0.0386  0.03
Hatto 1997   75  0.4236  0.0059  0.0466  0.0467  0.0382  0.03
Horowitz 1949   26  0.7113  0.0230  0.0622  0.304  0.5318  0.40
Indjic 1988   79  0.3790  0.0065  0.0384  0.0363  0.0379  0.03
Kapell 1951   30  0.7022  0.0158  0.0374  0.0341  0.1563  0.07
Kissin 1993   14  0.7810  0.0313  0.0813  0.437  0.5410  0.48
Kushner 1989   6  0.8431  0.008  0.148  0.502  0.586  0.54
Luisada 1991   60  0.6174  0.0061  0.0457  0.0450  0.0570  0.04
Lushtak 2004   55  0.6323  0.0144  0.0543  0.1048  0.0661  0.08
Malcuzynski 1961   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magaloff 1978   1  0.877  0.036  0.126  0.502  0.519  0.50
Magin 1975   41  0.688  0.0316  0.0726  0.264  0.4324  0.33
Michalowski 1933   77  0.3872  0.0037  0.0544  0.0947  0.0757  0.08
Milkina 1970   12  0.7856  0.0034  0.0537  0.1323  0.2941  0.19
Mohovich 1999   11  0.8168  0.0017  0.0717  0.3711  0.4517  0.41
Moravec 1969   40  0.6850  0.0056  0.0381  0.0326  0.2454  0.08
Morozova 2008   61  0.6049  0.0046  0.0647  0.0641  0.1160  0.08
Neighaus 1950   4  0.854  0.063  0.151  0.621  0.651  0.63
Niedzielski 1931   69  0.5526  0.0176  0.0382  0.0361  0.0478  0.03
Ohlsson 1999   28  0.7154  0.0063  0.0375  0.0352  0.0672  0.04
Osinska 1989   22  0.7458  0.0035  0.0732  0.1819  0.3235  0.24
Pachmann 1927   71  0.5257  0.0070  0.0459  0.0430  0.2450  0.10
Paderewski 1930   34  0.6924  0.0162  0.0383  0.0323  0.2356  0.08
Perlemuter 1992   53  0.6438  0.0026  0.0730  0.2123  0.3034  0.25
Pierdomenico 2008   38  0.6862  0.0028  0.0729  0.218  0.4028  0.29
Poblocka 1999   37  0.6928  0.0071  0.0372  0.0355  0.0477  0.03
Rabcewiczowa 1932   50  0.6578  0.0054  0.0460  0.0426  0.2648  0.10
Rachmaninoff 1923   52  0.6429  0.0020  0.0825  0.287  0.4023  0.33
Rangell 2001   18  0.7532  0.0031  0.0634  0.1723  0.2340  0.20
Richter 1976   56  0.6377  0.0053  0.0548  0.0525  0.2049  0.10
Rosen 1989   10  0.8134  0.0012  0.0912  0.444  0.598  0.51
Rosenthal 1930   29  0.7140  0.0036  0.0535  0.165  0.5429  0.29
Rosenthal 1931   59  0.6287  0.0041  0.0538  0.1314  0.4137  0.23
Rosenthal 1931b   62  0.6059  0.0047  0.0745  0.0714  0.4043  0.17
Rosenthal 1931c   19  0.7518  0.0124  0.0718  0.368  0.5315  0.44
Rosenthal 1931d   51  0.6466  0.0048  0.0465  0.0421  0.3246  0.11
Rossi 2007   83  0.3088  0.0052  0.0453  0.0417  0.2447  0.10
Rubinstein 1939   84  0.2581  0.0087  0.0288  0.0282  0.0387  0.02
Rubinstein 1952   63  0.6044  0.0080  0.0456  0.0449  0.0768  0.05
Rubinstein 1966   57  0.6370  0.0074  0.0464  0.0451  0.0573  0.04
Schilhawsky 1960   42  0.6833  0.0045  0.0746  0.0728  0.2444  0.13
Shebanova 2002   49  0.6661  0.0067  0.0467  0.0445  0.0965  0.06
Smith 1975   21  0.7441  0.0019  0.0915  0.4215  0.2921  0.35
Sokolov 2002   15  0.7711  0.0329  0.0924  0.2814  0.4420  0.35
Sztompka 1959   47  0.6642  0.0055  0.0468  0.0433  0.2551  0.10
Tomsic 1995   9  0.8269  0.0018  0.1116  0.418  0.5313  0.47
Uninsky 1932   65  0.6030  0.0033  0.0541  0.119  0.4538  0.22
Uninsky 1971   48  0.6616  0.0132  0.0636  0.1423  0.4036  0.24
Wasowski 1980   67  0.5819  0.0179  0.0370  0.0353  0.0476  0.03
Zak 1937   46  0.6765  0.0038  0.0540  0.1218  0.3339  0.20
Zak 1951   39  0.6839  0.0022  0.0721  0.3018  0.3922  0.34
Random 1   89  -0.0848  0.0090  0.0190  0.0165  0.0389  0.02
Random 2   90  -0.0960  0.0089  0.0189  0.0158  0.0388  0.02
Random 3   88  0.0984  0.0088  0.0287  0.0260  0.0485  0.03

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).