Duchoud 2007

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   20  0.5560  0.0032  0.0834  0.2632  0.1738  0.21
Anderszewski 2003   23  0.5527  0.0017  0.1027  0.3915  0.4918  0.44
Ashkenazy 1981   8  0.6063  0.006  0.095  0.5519  0.4211  0.48
Bacha 2000   69  0.3955  0.0077  0.0376  0.0373  0.0378  0.03
Badura 1965   64  0.4128  0.0042  0.0441  0.1414  0.4136  0.24
Barbosa 1983   38  0.5215  0.0118  0.0924  0.4316  0.4716  0.45
Biret 1990   5  0.6645  0.003  0.112  0.653  0.691  0.67
Blet 2003   14  0.5742  0.0014  0.0815  0.478  0.4614  0.46
Block 1995   75  0.3579  0.0082  0.0382  0.0378  0.0385  0.03
Blumental 1952   80  0.3249  0.0076  0.0466  0.0453  0.0572  0.04
Boshniakovich 1969   73  0.3880  0.0072  0.0375  0.0355  0.0486  0.03
Brailowsky 1960   74  0.3788  0.0083  0.0380  0.0382  0.0379  0.03
Bunin 1987   17  0.5643  0.0025  0.0821  0.4320  0.3724  0.40
Bunin 1987b   16  0.5625  0.0023  0.0720  0.4420  0.3821  0.41
Chiu 1999   34  0.523  0.095  0.103  0.628  0.632  0.62
Cohen 1997   82  0.308  0.0178  0.0471  0.0455  0.0575  0.04
Cortot 1951   45  0.4981  0.0041  0.0542  0.1228  0.2839  0.18
Csalog 1996   42  0.5010  0.0134  0.0836  0.228  0.5527  0.35
Czerny 1949   57  0.4661  0.0063  0.0462  0.0450  0.0663  0.05
Czerny 1990   7  0.6031  0.0019  0.1011  0.4919  0.3522  0.41
Duchoud 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ezaki 2006   21  0.5521  0.0031  0.0931  0.3746  0.0840  0.17
Falvay 1989   51  0.4717  0.0058  0.0648  0.0665  0.0459  0.05
Farrell 1958   29  0.5413  0.0136  0.0739  0.1821  0.3434  0.25
Ferenczy 1958   65  0.4184  0.0049  0.0650  0.0631  0.2245  0.11
Fliere 1977   9  0.6023  0.0021  0.109  0.4925  0.2925  0.38
Fou 1978   70  0.3970  0.0067  0.0558  0.0560  0.0466  0.04
Francois 1956   39  0.5133  0.0056  0.0559  0.0557  0.0477  0.04
Friedman 1923   79  0.3486  0.0048  0.0649  0.0615  0.4244  0.16
Friedman 1923b   77  0.3524  0.0047  0.0651  0.0611  0.4742  0.17
Friedman 1930   66  0.4141  0.0035  0.0735  0.2517  0.4828  0.35
Garcia 2007   81  0.3140  0.0075  0.0383  0.0329  0.2750  0.09
Garcia 2007b   87  0.2489  0.0080  0.0374  0.0343  0.1258  0.06
Gierzod 1998   61  0.4385  0.0050  0.0463  0.0467  0.0470  0.04
Gornostaeva 1994   30  0.5435  0.0037  0.0837  0.2047  0.0547  0.10
Groot 1988   37  0.5238  0.0061  0.0464  0.0463  0.0476  0.04
Harasiewicz 1955   71  0.3975  0.0045  0.0545  0.0951  0.0457  0.06
Hatto 1993   22  0.5546  0.008  0.177  0.518  0.535  0.52
Hatto 1997   13  0.589  0.014  0.1010  0.499  0.528  0.50
Horowitz 1949   72  0.3977  0.0074  0.0386  0.0376  0.0383  0.03
Indjic 1988   18  0.5664  0.007  0.1212  0.497  0.536  0.51
Kapell 1951   4  0.6632  0.0013  0.1713  0.4715  0.4613  0.46
Kissin 1993   62  0.4358  0.0054  0.0557  0.0550  0.0661  0.05
Kushner 1989   10  0.6011  0.0129  0.1423  0.4317  0.4020  0.41
Luisada 1991   27  0.5426  0.0030  0.0830  0.3732  0.2729  0.32
Lushtak 2004   26  0.5562  0.0012  0.1716  0.4716  0.4812  0.47
Malcuzynski 1961   36  0.5229  0.0062  0.0553  0.0587  0.0282  0.03
Magaloff 1978   46  0.4939  0.0052  0.0470  0.0477  0.0381  0.03
Magin 1975   43  0.5050  0.0044  0.0444  0.0921  0.2743  0.16
Michalowski 1933   54  0.4678  0.0015  0.1018  0.4411  0.4517  0.44
Milkina 1970   41  0.5071  0.0065  0.0647  0.0662  0.0460  0.05
Mohovich 1999   59  0.4566  0.0066  0.0468  0.0459  0.0474  0.04
Moravec 1969   40  0.5047  0.0059  0.0846  0.0857  0.0454  0.06
Morozova 2008   33  0.5344  0.0024  0.0722  0.4323  0.2330  0.31
Neighaus 1950   12  0.5867  0.0028  0.1114  0.4743  0.1335  0.25
Niedzielski 1931   58  0.4530  0.0069  0.0472  0.0428  0.1851  0.08
Ohlsson 1999   2  0.722  0.312  0.414  0.593  0.593  0.59
Osinska 1989   49  0.4856  0.0053  0.0469  0.0438  0.1352  0.07
Pachmann 1927   83  0.3051  0.0079  0.0381  0.0360  0.0568  0.04
Paderewski 1930   63  0.4382  0.0071  0.0373  0.0379  0.0384  0.03
Perlemuter 1992   67  0.4076  0.0060  0.0556  0.0560  0.0465  0.04
Pierdomenico 2008   56  0.4637  0.0064  0.0552  0.0537  0.1946  0.10
Poblocka 1999   6  0.6412  0.0111  0.166  0.515  0.534  0.52
Rabcewiczowa 1932   55  0.4659  0.0051  0.0461  0.0438  0.1948  0.09
Rachmaninoff 1923   25  0.5516  0.0022  0.0826  0.4014  0.4519  0.42
Rangell 2001   19  0.566  0.0238  0.0640  0.1622  0.3137  0.22
Richter 1976   50  0.4852  0.0046  0.0554  0.0537  0.1649  0.09
Rosen 1989   35  0.524  0.0520  0.0832  0.3132  0.2532  0.28
Rosenthal 1930   60  0.4457  0.0070  0.0460  0.0452  0.0471  0.04
Rosenthal 1931   84  0.2687  0.0086  0.0288  0.0281  0.0291  0.02
Rosenthal 1931b   86  0.2490  0.0087  0.0287  0.0266  0.0488  0.03
Rosenthal 1931c   68  0.4034  0.0073  0.0378  0.0376  0.0389  0.03
Rosenthal 1931d   85  0.2672  0.0088  0.0385  0.0378  0.0387  0.03
Rossi 2007   88  0.1683  0.0081  0.0379  0.0347  0.0480  0.03
Rubinstein 1939   78  0.3436  0.0085  0.0377  0.0343  0.1155  0.06
Rubinstein 1952   76  0.3554  0.0084  0.0384  0.0370  0.0490  0.03
Rubinstein 1966   47  0.4914  0.0168  0.0465  0.0446  0.0762  0.05
Schilhawsky 1960   53  0.4668  0.0040  0.0638  0.1943  0.1641  0.17
Shebanova 2002   28  0.547  0.0133  0.1129  0.3829  0.3526  0.36
Smith 1975   24  0.5522  0.0027  0.1028  0.3837  0.1933  0.27
Sokolov 2002   3  0.6619  0.0010  0.158  0.5011  0.4710  0.48
Sztompka 1959   31  0.5469  0.0039  0.0733  0.2833  0.2831  0.28
Tomsic 1995   48  0.4920  0.0043  0.0643  0.1259  0.0453  0.07
Uninsky 1932   32  0.5373  0.0026  0.0925  0.4118  0.3923  0.40
Uninsky 1971   11  0.595  0.039  0.1417  0.4618  0.4515  0.45
Wasowski 1980   15  0.5718  0.0016  0.1019  0.444  0.549  0.49
Zak 1937   44  0.4953  0.0057  0.0555  0.0545  0.0856  0.06
Zak 1951   52  0.4791  0.0055  0.0467  0.0451  0.0567  0.04
Average   1  0.731  0.331  0.331  0.7721  0.337  0.50
Random 1   90  0.0074  0.0091  0.0191  0.0131  0.1973  0.04
Random 2   91  -0.0348  0.0089  0.0189  0.0136  0.1469  0.04
Random 3   89  0.0765  0.0090  0.0190  0.0131  0.2564  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).