Neighaus 1950

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   25  0.4010  0.019  0.1411  0.5010  0.579  0.53
Anderszewski 2003   73  0.2987  0.0061  0.0556  0.0562  0.0568  0.05
Ashkenazy 1981   16  0.4259  0.0022  0.1017  0.4523  0.4713  0.46
Bacha 2000   75  0.2868  0.0075  0.0377  0.0347  0.0764  0.05
Badura 1965   82  0.2455  0.0080  0.0382  0.0381  0.0388  0.03
Barbosa 1983   52  0.3464  0.0052  0.0466  0.0453  0.0767  0.05
Biret 1990   35  0.3743  0.0036  0.0737  0.2334  0.3529  0.28
Blet 2003   7  0.4512  0.013  0.186  0.575  0.663  0.61
Block 1995   40  0.365  0.0214  0.0729  0.3234  0.2627  0.29
Blumental 1952   86  0.2080  0.0086  0.0288  0.0279  0.0489  0.03
Boshniakovich 1969   2  0.4816  0.015  0.193  0.6419  0.546  0.59
Brailowsky 1960   76  0.2891  0.0062  0.0463  0.0443  0.1354  0.07
Bunin 1987   74  0.2866  0.0074  0.0472  0.0464  0.0477  0.04
Bunin 1987b   79  0.2769  0.0079  0.0470  0.0482  0.0382  0.03
Chiu 1999   46  0.3527  0.0050  0.0464  0.0474  0.0470  0.04
Cohen 1997   50  0.3433  0.0028  0.0739  0.2031  0.4725  0.31
Cortot 1951   55  0.3324  0.0025  0.0834  0.2517  0.5122  0.36
Csalog 1996   67  0.3175  0.0072  0.0375  0.0371  0.0484  0.03
Czerny 1949   24  0.4058  0.0033  0.0830  0.3123  0.5717  0.42
Czerny 1990   51  0.3438  0.0048  0.0559  0.0567  0.0478  0.04
Duchoud 2007   56  0.3317  0.0151  0.0462  0.0431  0.3046  0.11
Ezaki 2006   54  0.3481  0.0058  0.0647  0.0655  0.0757  0.06
Falvay 1989   69  0.3072  0.0076  0.0465  0.0472  0.0472  0.04
Farrell 1958   43  0.3689  0.0054  0.0553  0.0544  0.1351  0.08
Ferenczy 1958   85  0.2237  0.0077  0.0379  0.0344  0.1953  0.08
Fliere 1977   26  0.4028  0.0027  0.0723  0.3960  0.0536  0.14
Fou 1978   48  0.3539  0.0045  0.0645  0.1257  0.0552  0.08
Francois 1956   13  0.434  0.0210  0.129  0.538  0.722  0.62
Friedman 1923   10  0.4419  0.006  0.224  0.6114  0.604  0.60
Friedman 1923b   6  0.462  0.022  0.282  0.648  0.681  0.66
Friedman 1930   28  0.3941  0.0042  0.0740  0.1930  0.3431  0.25
Garcia 2007   78  0.2736  0.0082  0.0289  0.0258  0.0587  0.03
Garcia 2007b   81  0.2656  0.0084  0.0383  0.0359  0.0580  0.04
Gierzod 1998   45  0.3550  0.0055  0.0648  0.0660  0.0663  0.06
Gornostaeva 1994   17  0.4223  0.0024  0.1020  0.4223  0.4814  0.45
Groot 1988   34  0.3729  0.0030  0.0727  0.3651  0.0540  0.13
Harasiewicz 1955   5  0.4722  0.008  0.167  0.5439  0.1924  0.32
Hatto 1993   27  0.3978  0.0017  0.0725  0.3737  0.1830  0.26
Hatto 1997   42  0.3662  0.0038  0.0738  0.2053  0.0547  0.10
Horowitz 1949   71  0.2965  0.0078  0.0380  0.0355  0.0575  0.04
Indjic 1988   37  0.3786  0.0035  0.0736  0.2356  0.0642  0.12
Kapell 1951   66  0.3188  0.0066  0.0558  0.0556  0.0666  0.05
Kissin 1993   30  0.3815  0.0132  0.0928  0.3335  0.4220  0.37
Kushner 1989   53  0.3482  0.0068  0.0468  0.0479  0.0474  0.04
Luisada 1991   47  0.3553  0.0056  0.0550  0.0547  0.0859  0.06
Lushtak 2004   38  0.3742  0.0043  0.0742  0.1842  0.0844  0.12
Malcuzynski 1961   64  0.3183  0.0073  0.0467  0.0488  0.0383  0.03
Magaloff 1978   21  0.4145  0.0029  0.0824  0.3731  0.2823  0.32
Magin 1975   65  0.3126  0.0069  0.0381  0.0379  0.0481  0.03
Michalowski 1933   72  0.2931  0.0070  0.0374  0.0341  0.1756  0.07
Milkina 1970   58  0.3214  0.0147  0.0551  0.0547  0.0861  0.06
Mohovich 1999   44  0.3676  0.0031  0.0833  0.2544  0.0935  0.15
Moravec 1969   68  0.3040  0.0059  0.0552  0.0546  0.0758  0.06
Morozova 2008   32  0.386  0.0134  0.0732  0.2550  0.0643  0.12
Neighaus 1950   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Niedzielski 1931   70  0.2951  0.0060  0.0560  0.0550  0.0565  0.05
Ohlsson 1999   4  0.4725  0.004  0.1713  0.5023  0.3318  0.41
Osinska 1989   9  0.4471  0.0020  0.0718  0.4430  0.3319  0.38
Pachmann 1927   41  0.3649  0.0041  0.0641  0.1924  0.4326  0.29
Paderewski 1930   33  0.3713  0.0118  0.0722  0.417  0.6411  0.51
Perlemuter 1992   39  0.3763  0.0046  0.0649  0.0630  0.2839  0.13
Pierdomenico 2008   49  0.3418  0.0167  0.0471  0.0442  0.1355  0.07
Poblocka 1999   60  0.3230  0.0049  0.0746  0.0765  0.0560  0.06
Rabcewiczowa 1932   20  0.4111  0.0115  0.0914  0.4916  0.5610  0.52
Rachmaninoff 1923   80  0.2679  0.0063  0.0554  0.0575  0.0371  0.04
Rangell 2001   15  0.437  0.0111  0.108  0.5311  0.558  0.54
Richter 1976   23  0.4021  0.0039  0.0643  0.1770  0.0549  0.09
Rosen 1989   11  0.4448  0.0021  0.0919  0.4427  0.2921  0.36
Rosenthal 1930   63  0.3285  0.0064  0.0555  0.0530  0.4237  0.14
Rosenthal 1931   87  0.1867  0.0087  0.0378  0.0359  0.0576  0.04
Rosenthal 1931b   84  0.2234  0.0081  0.0286  0.0246  0.0879  0.04
Rosenthal 1931c   59  0.3246  0.0053  0.0561  0.0525  0.3838  0.14
Rosenthal 1931d   88  0.1884  0.0088  0.0373  0.0369  0.0490  0.03
Rossi 2007   83  0.2260  0.0085  0.0384  0.0341  0.2050  0.08
Rubinstein 1939   62  0.3273  0.0057  0.0557  0.0559  0.0473  0.04
Rubinstein 1952   31  0.3877  0.0037  0.0831  0.2954  0.0641  0.13
Rubinstein 1966   18  0.4235  0.0016  0.0815  0.4865  0.0632  0.17
Schilhawsky 1960   77  0.2832  0.0083  0.0287  0.0267  0.0485  0.03
Shebanova 2002   12  0.4374  0.0023  0.1121  0.4254  0.0733  0.17
Smith 1975   19  0.4144  0.0013  0.1112  0.5011  0.617  0.55
Sokolov 2002   14  0.438  0.0119  0.0716  0.4612  0.5212  0.49
Sztompka 1959   3  0.479  0.017  0.185  0.6016  0.585  0.59
Tomsic 1995   57  0.3252  0.0065  0.0469  0.0449  0.0862  0.06
Uninsky 1932   61  0.3254  0.0071  0.0376  0.0371  0.0486  0.03
Uninsky 1971   22  0.4157  0.0026  0.0726  0.3738  0.2128  0.28
Wasowski 1980   8  0.453  0.0212  0.1310  0.5133  0.3615  0.43
Zak 1937   29  0.3920  0.0040  0.0635  0.2445  0.1034  0.15
Zak 1951   36  0.3747  0.0044  0.0844  0.1655  0.0548  0.09
Average   1  0.611  0.741  0.731  0.8838  0.2116  0.43
Random 1   89  0.0270  0.0089  0.0385  0.0310  0.4745  0.12
Random 2   90  -0.0590  0.0091  0.0191  0.0180  0.0291  0.01
Random 3   91  -0.0561  0.0090  0.0290  0.0240  0.1469  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).