Anderszewski 2003

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   49  0.5580  0.0066  0.0369  0.0368  0.0388  0.03
Anderszewski 2003   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ashkenazy 1981   9  0.706  0.046  0.135  0.5215  0.466  0.49
Bacha 2000   52  0.5418  0.0163  0.0372  0.0360  0.0567  0.04
Badura 1965   58  0.5251  0.0078  0.0364  0.0371  0.0489  0.03
Barbosa 1983   83  0.4137  0.0073  0.0288  0.0257  0.0585  0.03
Biret 1990   18  0.6539  0.0021  0.0618  0.3427  0.2718  0.30
Blet 2003   42  0.5847  0.0051  0.0362  0.0343  0.1063  0.05
Block 1995   39  0.5954  0.0023  0.0729  0.2021  0.3421  0.26
Blumental 1952   81  0.4528  0.0054  0.0451  0.0459  0.0473  0.04
Boshniakovich 1969   36  0.5976  0.0047  0.0361  0.0355  0.0574  0.04
Brailowsky 1960   19  0.6457  0.0048  0.0547  0.0540  0.2141  0.10
Bunin 1987   65  0.5191  0.0065  0.0646  0.0629  0.3135  0.14
Bunin 1987b   70  0.5069  0.0064  0.0368  0.0331  0.3143  0.10
Chiu 1999   77  0.4888  0.0074  0.0384  0.0357  0.0479  0.03
Cohen 1997   86  0.3427  0.0085  0.0379  0.0340  0.1065  0.05
Cortot 1951   47  0.5750  0.0055  0.0549  0.0563  0.0566  0.05
Csalog 1996   87  0.2589  0.0087  0.0285  0.0262  0.0486  0.03
Czerny 1949   37  0.5924  0.0137  0.0434  0.1566  0.0548  0.09
Czerny 1990   15  0.6749  0.0026  0.0624  0.2651  0.0539  0.11
Duchoud 2007   32  0.6055  0.0018  0.0721  0.2926  0.3316  0.31
Ezaki 2006   5  0.7221  0.0113  0.1113  0.4325  0.3212  0.37
Falvay 1989   79  0.4623  0.0182  0.0453  0.0447  0.0761  0.05
Farrell 1958   31  0.6056  0.0044  0.0442  0.0941  0.1142  0.10
Ferenczy 1958   35  0.5919  0.0134  0.0440  0.0914  0.3628  0.18
Fliere 1977   11  0.6972  0.0020  0.0720  0.3050  0.0537  0.12
Fou 1978   66  0.5178  0.0077  0.0380  0.0357  0.0570  0.04
Francois 1956   61  0.5230  0.0069  0.0363  0.0348  0.0577  0.04
Friedman 1923   74  0.4952  0.0052  0.0365  0.0333  0.2551  0.09
Friedman 1923b   75  0.4863  0.0053  0.0366  0.0335  0.2453  0.08
Friedman 1930   40  0.5886  0.0046  0.0452  0.0430  0.2938  0.11
Garcia 2007   43  0.5881  0.0027  0.0730  0.1910  0.4717  0.30
Garcia 2007b   69  0.5075  0.0029  0.0537  0.1322  0.2229  0.17
Gierzod 1998   13  0.6813  0.0116  0.1314  0.4329  0.2914  0.35
Gornostaeva 1994   17  0.659  0.0224  0.0623  0.2832  0.2620  0.27
Groot 1988   67  0.5179  0.0068  0.0456  0.0454  0.0475  0.04
Harasiewicz 1955   14  0.684  0.113  0.197  0.5012  0.457  0.47
Hatto 1993   10  0.703  0.124  0.186  0.506  0.611  0.55
Hatto 1997   7  0.7115  0.019  0.273  0.558  0.532  0.54
Horowitz 1949   54  0.5325  0.0071  0.0371  0.0340  0.1756  0.07
Indjic 1988   8  0.7059  0.008  0.149  0.4810  0.564  0.52
Kapell 1951   23  0.627  0.035  0.138  0.4911  0.449  0.46
Kissin 1993   53  0.5384  0.0070  0.0374  0.0359  0.0484  0.03
Kushner 1989   12  0.6829  0.0019  0.0719  0.3041  0.1525  0.21
Luisada 1991   2  0.7514  0.017  0.154  0.5312  0.485  0.50
Lushtak 2004   46  0.5758  0.0035  0.0532  0.1759  0.0549  0.09
Malcuzynski 1961   44  0.5835  0.0042  0.0443  0.0745  0.0855  0.07
Magaloff 1978   34  0.6041  0.0050  0.0458  0.0454  0.0569  0.04
Magin 1975   3  0.722  0.192  0.202  0.557  0.493  0.52
Michalowski 1933   33  0.6038  0.0022  0.0716  0.3612  0.4511  0.40
Milkina 1970   26  0.6145  0.0049  0.0457  0.0452  0.0571  0.04
Mohovich 1999   27  0.6120  0.0117  0.0822  0.2832  0.2522  0.26
Moravec 1969   84  0.4153  0.0084  0.0373  0.0381  0.0378  0.03
Morozova 2008   29  0.6160  0.0025  0.0728  0.2043  0.1033  0.14
Neighaus 1950   20  0.6366  0.0030  0.0425  0.2559  0.0540  0.11
Niedzielski 1931   51  0.5446  0.0062  0.0381  0.0338  0.1459  0.06
Ohlsson 1999   6  0.7116  0.0111  0.1615  0.4123  0.3313  0.37
Osinska 1989   21  0.6336  0.0040  0.0439  0.1153  0.0554  0.07
Pachmann 1927   85  0.4068  0.0086  0.0289  0.0271  0.0483  0.03
Paderewski 1930   45  0.5743  0.0060  0.0378  0.0336  0.1557  0.07
Perlemuter 1992   41  0.5874  0.0038  0.0633  0.1737  0.1330  0.15
Pierdomenico 2008   80  0.4665  0.0075  0.0287  0.0263  0.0480  0.03
Poblocka 1999   30  0.6140  0.0015  0.1112  0.4526  0.2615  0.34
Rabcewiczowa 1932   56  0.5361  0.0079  0.0360  0.0354  0.0481  0.03
Rachmaninoff 1923   25  0.6170  0.0032  0.0531  0.1840  0.1331  0.15
Rangell 2001   76  0.4864  0.0056  0.0367  0.0338  0.1858  0.07
Richter 1976   50  0.5534  0.0041  0.0638  0.1219  0.3826  0.21
Rosen 1989   38  0.5973  0.0045  0.0445  0.0759  0.0464  0.05
Rosenthal 1930   48  0.558  0.0243  0.0444  0.0726  0.2734  0.14
Rosenthal 1931   60  0.525  0.0428  0.0541  0.0926  0.3627  0.18
Rosenthal 1931b   64  0.5122  0.0157  0.0375  0.0322  0.3346  0.10
Rosenthal 1931c   73  0.4912  0.0159  0.0450  0.0435  0.2150  0.09
Rosenthal 1931d   72  0.4910  0.0158  0.0455  0.0425  0.2645  0.10
Rossi 2007   78  0.4831  0.0076  0.0383  0.0356  0.0568  0.04
Rubinstein 1939   82  0.4271  0.0083  0.0370  0.0346  0.0762  0.05
Rubinstein 1952   88  0.2448  0.0088  0.0377  0.0363  0.0576  0.04
Rubinstein 1966   55  0.5311  0.0181  0.0359  0.0370  0.0487  0.03
Schilhawsky 1960   24  0.6226  0.0014  0.1117  0.3438  0.2519  0.29
Shebanova 2002   57  0.5290  0.0080  0.0548  0.0546  0.0860  0.06
Smith 1975   4  0.7244  0.0010  0.1711  0.4612  0.468  0.46
Sokolov 2002   16  0.6662  0.0012  0.1410  0.4615  0.4410  0.45
Sztompka 1959   22  0.6342  0.0033  0.0627  0.2147  0.0836  0.13
Tomsic 1995   71  0.4917  0.0172  0.0454  0.0438  0.1947  0.09
Uninsky 1932   62  0.5167  0.0061  0.0382  0.0368  0.0572  0.04
Uninsky 1971   59  0.5232  0.0036  0.0636  0.1339  0.1732  0.15
Wasowski 1980   28  0.6177  0.0031  0.0526  0.2220  0.2823  0.25
Zak 1937   63  0.5182  0.0067  0.0376  0.0379  0.0482  0.03
Zak 1951   68  0.5085  0.0039  0.0535  0.1458  0.0552  0.08
Average   1  0.771  0.201  0.191  0.5942  0.1024  0.24
Random 1   91  -0.1687  0.0091  0.0191  0.0170  0.0391  0.02
Random 2   90  -0.1283  0.0090  0.0290  0.0280  0.0290  0.02
Random 3   89  0.0633  0.0089  0.0286  0.028  0.4744  0.10

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).