Neighaus 1950

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   7  0.8160  0.008  0.1211  0.5014  0.4218  0.46
Anderszewski 2003   13  0.7550  0.0038  0.0432  0.2123  0.2633  0.23
Ashkenazy 1981   33  0.6931  0.0023  0.0821  0.399  0.4721  0.43
Bacha 2000   56  0.6384  0.0067  0.0648  0.0642  0.0961  0.07
Badura 1965   43  0.6754  0.0050  0.0475  0.0423  0.4449  0.13
Barbosa 1983   75  0.4644  0.0072  0.0567  0.0535  0.1359  0.08
Biret 1990   53  0.6455  0.0064  0.0468  0.0466  0.0480  0.04
Blet 2003   62  0.6149  0.0065  0.0566  0.0542  0.1360  0.08
Block 1995   60  0.6338  0.0033  0.0543  0.0913  0.3239  0.17
Blumental 1952   73  0.5123  0.0145  0.0469  0.0469  0.0479  0.04
Boshniakovich 1969   6  0.8114  0.016  0.139  0.523  0.588  0.55
Brailowsky 1960   40  0.6834  0.0068  0.0747  0.0738  0.1554  0.10
Bunin 1987   67  0.5839  0.0053  0.0472  0.0412  0.4846  0.14
Bunin 1987b   69  0.5656  0.0052  0.0471  0.0412  0.4844  0.14
Chiu 1999   66  0.5841  0.0044  0.0444  0.0843  0.1355  0.10
Cohen 1997   86  0.3157  0.0083  0.0287  0.0280  0.0389  0.02
Cortot 1951   32  0.6963  0.0035  0.0436  0.1614  0.4531  0.27
Csalog 1996   85  0.3190  0.0079  0.0564  0.0575  0.0377  0.04
Czerny 1949   8  0.813  0.064  0.1510  0.508  0.5410  0.52
Czerny 1990   37  0.6835  0.0043  0.0541  0.1038  0.1252  0.11
Duchoud 2007   64  0.6070  0.0061  0.0745  0.0712  0.3842  0.16
Ezaki 2006   44  0.6786  0.0058  0.0558  0.0557  0.0473  0.04
Falvay 1989   80  0.3867  0.0087  0.0476  0.0465  0.0574  0.04
Farrell 1958   48  0.664  0.0410  0.0937  0.1336  0.1941  0.16
Ferenczy 1958   55  0.6411  0.0136  0.0442  0.0914  0.3837  0.18
Fliere 1977   4  0.8345  0.007  0.198  0.5516  0.4115  0.47
Fou 1978   61  0.6164  0.0059  0.0557  0.0564  0.0475  0.04
Francois 1956   25  0.7125  0.0156  0.0561  0.0518  0.4247  0.14
Friedman 1923   9  0.7861  0.0017  0.1216  0.458  0.5712  0.51
Friedman 1923b   12  0.7765  0.0014  0.0914  0.468  0.5711  0.51
Friedman 1930   10  0.7715  0.0122  0.0818  0.437  0.5514  0.49
Garcia 2007   28  0.7071  0.0040  0.0633  0.2022  0.3532  0.26
Garcia 2007b   17  0.7342  0.0020  0.1024  0.385  0.5619  0.46
Gierzod 1998   5  0.815  0.035  0.147  0.568  0.547  0.55
Gornostaeva 1994   29  0.7016  0.0160  0.0649  0.0633  0.1656  0.10
Groot 1988   45  0.6740  0.0057  0.0652  0.0617  0.4043  0.15
Harasiewicz 1955   15  0.7481  0.0024  0.1120  0.4021  0.3325  0.36
Hatto 1993   23  0.7110  0.0212  0.146  0.567  0.565  0.56
Hatto 1997   16  0.7328  0.0011  0.095  0.567  0.546  0.55
Horowitz 1949   19  0.7321  0.0118  0.0915  0.466  0.5313  0.49
Indjic 1988   14  0.746  0.029  0.134  0.577  0.554  0.56
Kapell 1951   58  0.6347  0.0030  0.0830  0.2724  0.1734  0.21
Kissin 1993   31  0.6927  0.0029  0.1027  0.3626  0.3028  0.33
Kushner 1989   21  0.7168  0.0042  0.0539  0.1332  0.2138  0.17
Luisada 1991   38  0.6869  0.0041  0.0734  0.1654  0.0653  0.10
Lushtak 2004   39  0.6817  0.0134  0.0435  0.1617  0.2835  0.21
Malcuzynski 1961   68  0.5726  0.0063  0.0563  0.0534  0.1758  0.09
Magaloff 1978   63  0.6124  0.0169  0.0650  0.0648  0.0765  0.06
Magin 1975   50  0.6677  0.0028  0.0829  0.2826  0.2830  0.28
Michalowski 1933   20  0.7373  0.0019  0.0819  0.4211  0.5217  0.47
Milkina 1970   52  0.6536  0.0066  0.0556  0.0578  0.0376  0.04
Mohovich 1999   36  0.6879  0.0047  0.0480  0.0448  0.0770  0.05
Moravec 1969   84  0.3259  0.0086  0.0384  0.0387  0.0286  0.02
Morozova 2008   57  0.6330  0.0048  0.0477  0.0441  0.1364  0.07
Neighaus 1950   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Niedzielski 1931   24  0.718  0.0231  0.0928  0.3117  0.4623  0.38
Ohlsson 1999   3  0.842  0.083  0.252  0.622  0.652  0.63
Osinska 1989   11  0.7774  0.0025  0.0625  0.3824  0.3624  0.37
Pachmann 1927   54  0.6475  0.0073  0.0562  0.0542  0.1063  0.07
Paderewski 1930   42  0.6812  0.0146  0.0479  0.0424  0.3251  0.11
Perlemuter 1992   27  0.7046  0.0037  0.0540  0.1136  0.1648  0.13
Pierdomenico 2008   70  0.5422  0.0162  0.0654  0.0612  0.4340  0.16
Poblocka 1999   30  0.7032  0.0013  0.1213  0.4610  0.4916  0.47
Rabcewiczowa 1932   71  0.5353  0.0075  0.0746  0.0761  0.0467  0.05
Rachmaninoff 1923   26  0.7019  0.0151  0.0470  0.0439  0.1162  0.07
Rangell 2001   74  0.5033  0.0070  0.0653  0.0627  0.2850  0.13
Richter 1976   59  0.6348  0.0049  0.0478  0.0418  0.4845  0.14
Rosen 1989   49  0.6672  0.0055  0.0555  0.0561  0.0478  0.04
Rosenthal 1930   78  0.4482  0.0076  0.0474  0.0474  0.0383  0.03
Rosenthal 1931   81  0.3876  0.0082  0.0382  0.0371  0.0482  0.03
Rosenthal 1931b   79  0.3980  0.0080  0.0381  0.0380  0.0385  0.03
Rosenthal 1931c   83  0.3685  0.0084  0.0286  0.0280  0.0390  0.02
Rosenthal 1931d   82  0.3766  0.0085  0.0383  0.0383  0.0384  0.03
Rossi 2007   77  0.4562  0.0081  0.0285  0.0268  0.0481  0.03
Rubinstein 1939   72  0.5243  0.0074  0.0651  0.0666  0.0466  0.05
Rubinstein 1952   87  0.3029  0.0078  0.0565  0.0555  0.0672  0.05
Rubinstein 1966   65  0.5920  0.0171  0.0559  0.0549  0.0569  0.05
Schilhawsky 1960   18  0.737  0.0215  0.0912  0.5010  0.569  0.53
Shebanova 2002   1  0.871  0.491  0.481  0.692  0.651  0.67
Smith 1975   47  0.6713  0.0154  0.0473  0.0428  0.2057  0.09
Sokolov 2002   51  0.6551  0.0039  0.0438  0.1319  0.3236  0.20
Sztompka 1959   2  0.869  0.022  0.253  0.583  0.563  0.57
Tomsic 1995   76  0.4652  0.0077  0.0560  0.0561  0.0568  0.05
Uninsky 1932   41  0.6818  0.0121  0.0826  0.3820  0.4222  0.40
Uninsky 1971   46  0.6737  0.0016  0.1317  0.4514  0.4420  0.44
Wasowski 1980   34  0.6958  0.0032  0.0831  0.2513  0.3329  0.29
Zak 1937   22  0.7188  0.0026  0.0822  0.3817  0.3126  0.34
Zak 1951   35  0.6978  0.0027  0.1423  0.3818  0.3127  0.34
Random 1   90  -0.2787  0.0090  0.0190  0.0171  0.0388  0.02
Random 2   88  -0.1089  0.0088  0.0288  0.0261  0.0387  0.02
Random 3   89  -0.1383  0.0089  0.0189  0.0134  0.2171  0.05

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).