Neighaus 1950

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   26  0.7048  0.0025  0.0725  0.3314  0.3528  0.34
Anderszewski 2003   67  0.5188  0.0055  0.0553  0.0540  0.1364  0.08
Ashkenazy 1981   27  0.7070  0.0023  0.0930  0.3119  0.3531  0.33
Bacha 2000   48  0.6238  0.0062  0.0463  0.0419  0.3753  0.12
Badura 1965   69  0.4978  0.0072  0.0283  0.0247  0.0587  0.03
Barbosa 1983   62  0.5553  0.0037  0.0642  0.1621  0.3838  0.25
Biret 1990   16  0.7250  0.0032  0.0829  0.3113  0.3432  0.32
Blet 2003   31  0.6741  0.0036  0.0632  0.2712  0.4130  0.33
Block 1995   56  0.5829  0.0038  0.0645  0.1013  0.3343  0.18
Blumental 1952   81  0.4167  0.0068  0.0464  0.0439  0.1172  0.07
Boshniakovich 1969   19  0.7230  0.0031  0.0826  0.334  0.5420  0.42
Brailowsky 1960   53  0.6080  0.0071  0.0376  0.0374  0.0483  0.03
Bunin 1987   24  0.7124  0.0029  0.0628  0.3212  0.4525  0.38
Bunin 1987b   23  0.7132  0.0030  0.0827  0.3212  0.4523  0.38
Chiu 1999   51  0.6019  0.0126  0.0631  0.2712  0.4726  0.36
Cohen 1997   86  0.2859  0.0086  0.0381  0.0370  0.0389  0.03
Cortot 1951   60  0.5616  0.0167  0.0373  0.0354  0.0681  0.04
Csalog 1996   80  0.4172  0.0087  0.0372  0.0368  0.0386  0.03
Czerny 1949   40  0.6511  0.0228  0.0823  0.3416  0.4224  0.38
Czerny 1990   25  0.7012  0.0115  0.1215  0.4615  0.3821  0.42
Duchoud 2007   37  0.6675  0.0046  0.0646  0.0631  0.2751  0.13
Ezaki 2006   5  0.807  0.044  0.137  0.546  0.547  0.54
Falvay 1989   21  0.7142  0.0021  0.0724  0.3318  0.3329  0.33
Farrell 1958   12  0.756  0.045  0.1118  0.431  0.6310  0.52
Ferenczy 1958   70  0.4960  0.0084  0.0379  0.0347  0.0580  0.04
Fliere 1977   3  0.812  0.063  0.1411  0.524  0.539  0.52
Fou 1978   22  0.713  0.0517  0.1120  0.4210  0.4918  0.45
Francois 1956   18  0.729  0.038  0.1114  0.495  0.5511  0.52
Friedman 1923   85  0.3055  0.0080  0.0375  0.0319  0.4056  0.11
Friedman 1923b   84  0.3173  0.0079  0.0467  0.0419  0.4052  0.13
Friedman 1930   73  0.4743  0.0054  0.0556  0.0518  0.3847  0.14
Garcia 2007   79  0.4271  0.0082  0.0284  0.0231  0.2471  0.07
Garcia 2007b   83  0.3684  0.0078  0.0377  0.0312  0.2763  0.09
Gierzod 1998   11  0.7561  0.0022  0.0821  0.368  0.3627  0.36
Gornostaeva 1994   8  0.7718  0.016  0.116  0.544  0.528  0.53
Groot 1988   10  0.7662  0.0019  0.1119  0.439  0.4819  0.45
Harasiewicz 1955   54  0.6028  0.0011  0.0913  0.4910  0.4417  0.46
Hatto 1993   82  0.4185  0.0075  0.0378  0.0341  0.0976  0.05
Hatto 1997   71  0.4864  0.0060  0.0462  0.0440  0.1170  0.07
Horowitz 1949   33  0.6739  0.0042  0.0639  0.1710  0.4237  0.27
Indjic 1988   78  0.4249  0.0069  0.0382  0.0348  0.0579  0.04
Kapell 1951   41  0.6337  0.0059  0.0459  0.0438  0.2061  0.09
Kissin 1993   32  0.6735  0.0035  0.0538  0.1724  0.3140  0.23
Kushner 1989   28  0.6881  0.0027  0.0634  0.2222  0.3236  0.27
Luisada 1991   47  0.6322  0.0133  0.0644  0.1322  0.3341  0.21
Lushtak 2004   15  0.748  0.0314  0.139  0.528  0.5112  0.51
Malcuzynski 1961   2  0.8513  0.012  0.192  0.652  0.622  0.63
Magaloff 1978   9  0.7715  0.0120  0.1312  0.495  0.4714  0.48
Magin 1975   59  0.5740  0.0050  0.0549  0.0529  0.2158  0.10
Michalowski 1933   77  0.4433  0.0047  0.0555  0.0533  0.2955  0.12
Milkina 1970   36  0.6686  0.0052  0.0552  0.0536  0.2059  0.10
Mohovich 1999   6  0.8027  0.007  0.125  0.565  0.566  0.56
Moravec 1969   63  0.5468  0.0076  0.0466  0.0444  0.0873  0.06
Morozova 2008   52  0.6020  0.0134  0.0533  0.2610  0.3134  0.28
Neighaus 1950   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Niedzielski 1931   75  0.4731  0.0085  0.0461  0.0450  0.0578  0.04
Ohlsson 1999   17  0.7217  0.0145  0.0843  0.1635  0.1744  0.16
Osinska 1989   42  0.6326  0.0041  0.0635  0.2219  0.3335  0.27
Pachmann 1927   58  0.5765  0.0053  0.0457  0.0420  0.4249  0.13
Paderewski 1930   57  0.5852  0.0066  0.0369  0.0328  0.1868  0.07
Perlemuter 1992   39  0.655  0.0410  0.1016  0.464  0.5513  0.50
Pierdomenico 2008   43  0.6314  0.0140  0.0637  0.1816  0.3339  0.24
Poblocka 1999   34  0.6654  0.0044  0.0841  0.1743  0.1245  0.14
Rabcewiczowa 1932   29  0.6745  0.0039  0.0536  0.187  0.4833  0.29
Rachmaninoff 1923   49  0.6176  0.0024  0.0922  0.356  0.4422  0.39
Rangell 2001   38  0.6666  0.0058  0.0548  0.0541  0.1466  0.08
Richter 1976   76  0.4456  0.0083  0.0288  0.0256  0.0485  0.03
Rosen 1989   4  0.8023  0.009  0.103  0.571  0.683  0.62
Rosenthal 1930   61  0.5689  0.0064  0.0374  0.0332  0.2562  0.09
Rosenthal 1931   74  0.4774  0.0073  0.0286  0.0235  0.1975  0.06
Rosenthal 1931b   68  0.5090  0.0065  0.0465  0.0426  0.2660  0.10
Rosenthal 1931c   45  0.6357  0.0057  0.0647  0.0620  0.3548  0.14
Rosenthal 1931d   65  0.5391  0.0074  0.0380  0.0329  0.1967  0.08
Rossi 2007   87  0.2458  0.0081  0.0370  0.0335  0.1274  0.06
Rubinstein 1939   88  0.2487  0.0088  0.0287  0.0256  0.0584  0.03
Rubinstein 1952   66  0.5377  0.0077  0.0371  0.0346  0.0877  0.05
Rubinstein 1966   55  0.5936  0.0070  0.0285  0.0231  0.2269  0.07
Schilhawsky 1960   44  0.6363  0.0043  0.0640  0.1733  0.2242  0.19
Shebanova 2002   46  0.6379  0.0061  0.0458  0.0436  0.1765  0.08
Smith 1975   20  0.7246  0.0013  0.148  0.525  0.4215  0.47
Sokolov 2002   30  0.6744  0.0048  0.0551  0.0540  0.2057  0.10
Sztompka 1959   35  0.6647  0.0051  0.0460  0.0427  0.3554  0.12
Tomsic 1995   7  0.7834  0.0018  0.1117  0.4511  0.4916  0.47
Uninsky 1932   64  0.5469  0.0056  0.0550  0.0530  0.3250  0.13
Uninsky 1971   50  0.6025  0.0049  0.0554  0.0526  0.3746  0.14
Wasowski 1980   72  0.4821  0.0163  0.0368  0.0358  0.0482  0.03
Zak 1937   13  0.7410  0.0216  0.1110  0.522  0.615  0.56
Zak 1951   14  0.744  0.0512  0.114  0.574  0.614  0.59
Average   1  0.861  0.471  0.461  0.752  0.601  0.67
Random 1   90  -0.0451  0.0090  0.0190  0.0148  0.0590  0.02
Random 2   91  -0.1582  0.0091  0.0191  0.0188  0.0291  0.01
Random 3   89  0.0983  0.0089  0.0289  0.0260  0.0488  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).