Anderszewski 2003

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   71  0.3660  0.0072  0.0283  0.0253  0.0479  0.03
Anderszewski 2003   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ashkenazy 1981   3  0.735  0.047  0.166  0.559  0.486  0.51
Bacha 2000   63  0.4144  0.0071  0.0371  0.0343  0.1152  0.06
Badura 1965   73  0.3537  0.0077  0.0374  0.0370  0.0380  0.03
Barbosa 1983   81  0.2879  0.0075  0.0282  0.0272  0.0385  0.02
Biret 1990   20  0.5950  0.0024  0.0621  0.3240  0.1426  0.21
Blet 2003   32  0.5426  0.0132  0.0628  0.2439  0.1229  0.17
Block 1995   47  0.4970  0.0042  0.0541  0.1139  0.1334  0.12
Blumental 1952   74  0.3549  0.0058  0.0456  0.0452  0.0466  0.04
Boshniakovich 1969   60  0.4334  0.0070  0.0460  0.0452  0.0567  0.04
Brailowsky 1960   35  0.5320  0.0148  0.0449  0.0451  0.0560  0.04
Bunin 1987   19  0.5982  0.0026  0.1117  0.3925  0.3216  0.35
Bunin 1987b   18  0.5989  0.0025  0.0716  0.3925  0.3315  0.36
Chiu 1999   79  0.2984  0.0080  0.0370  0.0378  0.0372  0.03
Cohen 1997   78  0.3021  0.0181  0.0369  0.0342  0.1254  0.06
Cortot 1951   39  0.5238  0.0057  0.0367  0.0340  0.1650  0.07
Csalog 1996   87  0.1746  0.0087  0.0288  0.0246  0.0763  0.04
Czerny 1949   55  0.4619  0.0133  0.0732  0.1939  0.1630  0.17
Czerny 1990   22  0.5867  0.0028  0.0620  0.3238  0.1327  0.20
Duchoud 2007   6  0.7015  0.019  0.158  0.5212  0.458  0.48
Ezaki 2006   16  0.6065  0.0029  0.0723  0.3059  0.0436  0.11
Falvay 1989   62  0.4171  0.0054  0.0452  0.0471  0.0461  0.04
Farrell 1958   31  0.5490  0.0061  0.0362  0.0345  0.0662  0.04
Ferenczy 1958   26  0.5511  0.0231  0.0634  0.1816  0.4023  0.27
Fliere 1977   23  0.5762  0.0045  0.0457  0.0462  0.0459  0.04
Fou 1978   76  0.3341  0.0082  0.0281  0.0262  0.0574  0.03
Francois 1956   67  0.4055  0.0052  0.0448  0.0465  0.0469  0.04
Friedman 1923   83  0.2380  0.0068  0.0377  0.0340  0.1651  0.07
Friedman 1923b   84  0.2385  0.0069  0.0368  0.0342  0.1549  0.07
Friedman 1930   65  0.4072  0.0062  0.0459  0.0438  0.1348  0.07
Garcia 2007   46  0.4957  0.0022  0.0630  0.224  0.5117  0.33
Garcia 2007b   64  0.4045  0.0023  0.0833  0.198  0.3924  0.27
Gierzod 1998   13  0.6112  0.0227  0.0915  0.4330  0.1921  0.29
Gornostaeva 1994   27  0.5522  0.0149  0.0361  0.0363  0.0382  0.03
Groot 1988   61  0.4228  0.0053  0.0446  0.0463  0.0468  0.04
Harasiewicz 1955   33  0.546  0.0414  0.2214  0.4613  0.3813  0.42
Hatto 1993   7  0.691  0.231  0.234  0.564  0.552  0.55
Hatto 1997   8  0.6914  0.016  0.231  0.614  0.571  0.59
Horowitz 1949   66  0.4035  0.0073  0.0284  0.0256  0.0477  0.03
Indjic 1988   10  0.6781  0.005  0.145  0.555  0.543  0.54
Kapell 1951   11  0.678  0.0212  0.147  0.548  0.514  0.52
Kissin 1993   70  0.3953  0.0078  0.0378  0.0370  0.0378  0.03
Kushner 1989   12  0.6225  0.0117  0.0926  0.2651  0.0440  0.10
Luisada 1991   2  0.7417  0.018  0.2312  0.493  0.497  0.49
Lushtak 2004   45  0.5030  0.0018  0.0619  0.3433  0.1825  0.25
Malcuzynski 1961   24  0.5639  0.0040  0.0535  0.1555  0.0442  0.08
Magaloff 1978   21  0.5847  0.0035  0.0627  0.2457  0.0439  0.10
Magin 1975   1  0.754  0.084  0.119  0.513  0.4310  0.47
Michalowski 1933   14  0.6016  0.0111  0.162  0.575  0.475  0.52
Milkina 1970   56  0.4642  0.0079  0.0376  0.0371  0.0476  0.03
Mohovich 1999   36  0.5327  0.0120  0.0725  0.2639  0.1131  0.17
Moravec 1969   69  0.3924  0.0167  0.0372  0.0369  0.0370  0.03
Morozova 2008   29  0.5461  0.0030  0.0836  0.1557  0.0444  0.08
Neighaus 1950   40  0.5186  0.0041  0.0539  0.1352  0.0545  0.08
Niedzielski 1931   59  0.4456  0.0056  0.0450  0.0416  0.2837  0.11
Ohlsson 1999   9  0.6743  0.0015  0.1918  0.3823  0.2519  0.31
Osinska 1989   57  0.4477  0.0076  0.0373  0.0351  0.0471  0.03
Pachmann 1927   88  0.1466  0.0086  0.0286  0.0276  0.0384  0.02
Paderewski 1930   41  0.5159  0.0060  0.0454  0.0433  0.1543  0.08
Perlemuter 1992   54  0.4783  0.0034  0.0729  0.2240  0.1133  0.16
Pierdomenico 2008   53  0.4773  0.0064  0.0364  0.0380  0.0373  0.03
Poblocka 1999   15  0.607  0.0316  0.1113  0.4819  0.3314  0.40
Rabcewiczowa 1932   44  0.5063  0.0063  0.0453  0.0447  0.0657  0.05
Rachmaninoff 1923   50  0.4887  0.0037  0.0537  0.1554  0.0441  0.08
Rangell 2001   49  0.4831  0.0065  0.0365  0.0364  0.0483  0.03
Richter 1976   34  0.5351  0.0019  0.0624  0.2914  0.3418  0.31
Rosen 1989   52  0.4874  0.0066  0.0451  0.0476  0.0381  0.03
Rosenthal 1930   25  0.5633  0.0050  0.0445  0.0450  0.0565  0.04
Rosenthal 1931   28  0.543  0.113  0.1131  0.2120  0.3622  0.27
Rosenthal 1931b   38  0.5236  0.0038  0.0538  0.1326  0.2428  0.18
Rosenthal 1931c   37  0.5323  0.0151  0.0455  0.0436  0.1746  0.08
Rosenthal 1931d   51  0.4810  0.0239  0.0542  0.1033  0.1435  0.12
Rossi 2007   80  0.2840  0.0047  0.0366  0.0341  0.0855  0.05
Rubinstein 1939   82  0.2852  0.0085  0.0285  0.0241  0.1356  0.05
Rubinstein 1952   86  0.2168  0.0088  0.0287  0.0269  0.0390  0.02
Rubinstein 1966   68  0.4032  0.0084  0.0279  0.0272  0.0386  0.02
Schilhawsky 1960   17  0.602  0.182  0.1710  0.5012  0.3811  0.44
Shebanova 2002   72  0.3675  0.0083  0.0280  0.0270  0.0387  0.02
Smith 1975   5  0.729  0.0210  0.153  0.579  0.3312  0.43
Sokolov 2002   4  0.7264  0.0013  0.1511  0.5011  0.449  0.47
Sztompka 1959   42  0.5169  0.0055  0.0458  0.0441  0.1447  0.07
Tomsic 1995   48  0.4913  0.0243  0.0543  0.1056  0.0453  0.06
Uninsky 1932   58  0.4478  0.0059  0.0447  0.0449  0.0564  0.04
Uninsky 1971   30  0.5418  0.0121  0.0722  0.3129  0.3220  0.31
Wasowski 1980   43  0.5154  0.0036  0.0540  0.1226  0.2232  0.16
Zak 1937   77  0.3358  0.0074  0.0375  0.0375  0.0375  0.03
Zak 1951   75  0.3448  0.0044  0.0444  0.0768  0.0458  0.05
Random 1   89  -0.0876  0.0090  0.0190  0.0171  0.0389  0.02
Random 2   90  -0.0988  0.0089  0.0289  0.0272  0.0288  0.02
Random 3   85  0.2229  0.0046  0.0363  0.0312  0.4338  0.11

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).